prof.dr.ir. G.J.T. Leus

Professor
Signal Processing Systems (SPS), Department of Microelectronics

Expertise: Signal processing for communications, with applications to underwater communications, cognitive radio, and multiple-input multiple-output (MIMO) systems. Signal processing for (compressive) sensing with applications to ultrasound imaging and radar. Distributed signal processing. Graph signal processing.

Themes: Biomedical signal processing/wavefield imaging, Signal processing for communication

Biography

Geert Leus was born in Leuven, Belgium, in 1973. He received the M.Sc. and Ph.D. degree in Electrical Engineering from the KU Leuven, Belgium, in June 1996 and May 2000, respectively. He was a Research Assistant and a Postdoctoral Fellow at the KU Leuven from October 1996 till September 2003. During the summer of 1998, he visited Stanford University (with Prof A. Paulraj), and from March 2001 till May 2002, he was a Visiting Researcher (with Prof. G.B. Giannakis) and Lecturer at the University of Minnesota. Currently, he is a Full Professor at the Faculty of Electrical Engineering, Mathematics and Computer Science of the Delft University of Technology (TU Delft), The Netherlands.

His research interests lie in the broad area of signal processing for communications and sensing. Recently, he has been working on distributed signal processing as well as graph signal processing.

Geert Leus received numerous awards including the 2021 EURASIP Individual Technical Achievement Award, a 2005 IEEE Signal Processing Society Best Paper Award, and a 2002 IEEE Signal Processing Society Young Author Best Paper Award. He was also a Distinguished Lecturer of the IEEE Signal Processing Society.

Geert Leus is a Fellow of the IEEE and a Fellow of EURASIP. He was a Member-at-Large of the Board of Governors of the IEEE Signal Processing Society, the Chair of the IEEE Signal Processing for Communications and Networking Technical Committee, a Member of the IEEE Sensor Array and Multichannel Technical Committee, a Member of the IEEE Big Data Special Interest Group, a member of the EURASIP Signal Processing for Communications and Networking Special Area Team, and the Editor in Chief of the EURASIP Journal on Advances in Signal Processing. He was also on the Editorial Boards of the IEEE Transactions on Signal Processing, the IEEE Transactions on Wireless Communications, the IEEE Signal Processing Letters, and the EURASIP Journal on Advances in Signal Processing. Currently, he is the Chair of the EURASIP Signal Processing for Multisensor Systems Technical Area Committee, a Member of the IEEE Signal Processing Theory and Methods Technical Committee, an Associate Editor of Foundations and Trends in Signal Processing, and the Editor in Chief of EURASIP Signal Processing.

EE4530 Applied convex optimization

Applied convex optimization: role of convexity in optimization, convex sets and functions, Canonical convex problems (SDP, LP, QP), second-order methods, first-order methods for large-scale problems.

EE4715 Array processing

Array processing techniques for signal separation and parameter estimation

EE4C03 Statistical digital signal processing

A second course on digital signal processing: random signals, covariances, linear prediction, spectrum estimation, optimal filtering, Wiener and Kalman filters, LMS and RLS algorithm

Graph Signal Processing in Action

Graph signal processing, Graph topology identification, Graph filtering, Dynamic graphs, Graph learning, Functional ultrasound, Recommender systems

Closed loop adaptive radar resource allocation

Design of a radar system to operate in a congested and contested environment

Three-dimensional Ultrasound Imaging Through Compressive Spatial Coding

Develop smart compressive coding masks to make 3D ultrasound imaging cheap and widely applicable.

Projects history

Task-cognizant sparse sensing for inference

Low-cost sparse sensing designed for specific tasks

Data reduction and image formation for future radio telescopes

The future SKA telescope will produce large amounts of correlation data that cannot be stored and needs to be processed quasi real-time. Image formation is the main bottleneck--can compressive sampling and advanced algebraic techniques help?

Sensing Heterogeneous Information Network Environment

How can heterogeneous resources (people, mobile sensors, fixed sensors, social media, information systems, etc.) self-organize for answering information needs?

Autonomous, self-learning, optimal and complete underwater systems

Can we develop robust, cooperative and cognitive communication for Autonomous Underwater Vehicles?

Dependable Distributed Sensing Systems

The D2S2 project aims at developing an algorithmic framework for operating large-scale distributed sensor systems.

Signal Processing for Self-Organizing Wireless Networks

Mathematical foundations to develop large self-organizing networks based on cognitive radio devices that are capable of sensing the radio spectrum and adapt accordingly.

Smart moving Process Environment Actuators and Sensors

Can an RF sensor network be developed for an underwater environment (chemical reaction tank)? Main issues are localization and UWB communication. This is a difficult environment for RF.

Binaural Beamforming Taking into Account Spatial Release from Masking
Johannes W. de Vries; Steven van de Par; Geert Leus; Richard Heusdens; Richard C. Hendriks;
Trans. Audio, Speech and Language Processing, 2024.,
2024. Additional material: software
Transmit and Receive Sensor Selection Using the Multiplicity in the Virtual Array
I. van der Werf; C. Kokke; R. Heusdens; R. C. Hendriks; G. Leus; M. Coutino;
In 32nd European Signal Processing Conference (EUSIPCO 2024),
2024.
Optimized Pilot Design for OTFS Modulation in Underwater Acoustic Communications
Ids van der Werf; Costas Pelekanakis; Richard Hendriks; Richard Heusdens; Geert Leus;
In Seventh Underwater Communications and Networking Conference 2024,
2024.
Phase-based distance determination for wireless networks
A.J. van der Veen; T. Kazaz; G.J.M. Janssen; G.J.T. Leus; Mario Coutino;
Patent, US 11,889,459 B2, 2024.
On the equivalence of OSDM and OTFS
I. van der Werf; H. S. Dol; K. C. H. Blom; R. Heusdens; R. C. Hendriks; G. J. T. Leus;
Elsevier Signal Processing,
2023.
Joint Ranging and Phase Offset Estimation for Multiple Drones using ADS-B Signatures
Mohammadkarimi, Mostafa; Leus, Geert; Rajan, Raj Thilak;
IEEE Transactions on Vehicular Technology,
2023. DOI: 10.1109/TVT.2023.3318192
Sensor Selection for Angle of Arrival Estimation Based on the Two-Target Cramér-Rao Bound
Costas Kokke; Mario Coutino; Laura Anitori; Richard Heusdens; Geert Leus;
In 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
pp. 1--5, June 2023. DOI: 10.1109/ICASSP49357.2023.10094942

Keywords: ...
Acoustics,array processing,Array signal processing,Computational modeling,cramér-rao bound,Estimation,Hardware,multi-target estimation,sensor selection,Sensors,sparse sensing,Throughput.

Abstract: ...
Sensor selection is a useful method to help reduce data throughput, as well as computational, power, and hardware requirements, while still maintaining acceptable performance. Although minimizing the Cramér-Rao bound has been adopted previously for sparse sensing, it did not consider multiple targets and unknown source models. In this work, we propose to tackle the sensor selection problem for angle of arrival estimation using the worst-case Cramér-Rao bound of two uncorrelated sources. To do so, we cast the problem as a convex semi-definite program and retrieve the binary selection by randomized rounding. Through numerical examples related to a linear array, we illustrate the proposed method and show that it leads to the natural selection of elements at the edges plus the center of the linear array. This contrasts with the typical solutions obtained from minimizing the single-target Cramér-Rao bound.
Transmit Waveform Design Based on the Cramér-Rao Lower Bound
Ids van der Werf; Richard C. Hendriks; Richard Heusdens; Geert Leus;
In Proc. of IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
2023.
Sensor Selection Using the Two-Target Cramér-Rao Bound for Angle of Arrival Estimation
Costas A. Kokke; Mario Coutino; Laura Anitori; Richard Heusdens; Geert Leus;
Submitted to ISCS2023, July 2023. A 2-page abstract of Sensor Selection for Angle of Arrival Estimation Based on the Two-Target Cramér-Rao Bound.. DOI: 10.48550/arXiv.2307.16478

Keywords: ...
Electrical Engineering and Systems Science - Signal Processing.

Abstract: ...
Sensor selection is a useful method to help reduce data throughput, as well as computational, power, and hardware requirements, while still maintaining acceptable performance. Although minimizing the Cramér-Rao bound has been adopted previously for sparse sensing, it did not consider multiple targets and unknown source models. We propose to tackle the sensor selection problem for angle of arrival estimation using the worst-case Cramér-Rao bound of two uncorrelated sources. We cast the problem as a convex semi-definite program and retrieve the binary selection by randomized rounding. Through numerical examples related to a linear array, we illustrate the proposed method and show that it leads to the selection of elements at the edges plus the center of the linear array.
Learning Time-Varying Graphs From Online Data
Natali, A.; Isufi, E.; Coutino, M.; Leus, G.;
IEEE Open Journal of Signal Processing,
Volume 3, pp. 212--228, 2022. DOI: 10.1109/OJSP.2022.3178901
Efficient Angle Estimation for MIMO Systems via Redundancy Reduction Representation
Zhang, Yu; Wang, Yue; Tian, Zhi; Leus, G.; Zhang, Gong;
IEEE Signal Processing Letters,
Volume 29, pp. 1052--1056, 2022. DOI: 10.1109/LSP.2022.3164850
Computational Array Signal Processing via Modulo Non-Linearities
Fernandez-Menduina, S.; Krahmer, F.; Leus, G.; Bhandari, A.;
IEEE Transactions on Signal Processing,
Volume 70, pp. 2168--2179, 2022. DOI: 10.1109/TSP.2021.3101437
Efficient Super-Resolution Two-Dimensional Harmonic Retrieval With Multiple Measurement Vectors
Zhang, Yu; Wang, Yue; Tian, Zhi; Leus, G.; Zhang, Gong;
IEEE Transactions on Signal Processing,
Volume 70, pp. 1224--1240, 2022. DOI: 10.1109/TSP.2022.3150964
A Cascaded Structure for Generalized Graph Filters
Coutino, M.; Leus, G.;
IEEE Transactions on Signal Processing,
Volume 70, pp. 3499--3513, 2022. DOI: 10.1109/TSP.2021.3099630
Learning-based method for k-space trajectory design in MRI
Sharma, S.; Hari, K.V.S.; Leus, G.;
In Proc. of IEEE International Engineering in Medicine and Biology Conference (EMBC),
Glasgow, Scotland, UK, pp. 1464--1467, July 2022. DOI: 10.1109/EMBC48229.2022.9871692
Structured Sensing Matrix Design for In-sector Compressed mmWave Channel Estimation
Masoumi, H.; Myers, N.J.; Leus, G.; Wahls, S.; Verhaegen, M.;
In Proc. of IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC),
Oulu, Finland, July 2022. DOI: 10.1109/SPAWC51304.2022.9833949
Aerial Base Station Placement Leveraging Radio Tomographic Maps
Romero, D.; Viet, Pham Q.; Leus, G.;
In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Singapore, pp. 5358--5362, May 2022. DOI: 10.1109/ICASSP43922.2022.9746987
Simplicial Convolutional Neural Networks
Yang, Maosheng; Isufi, E.; Leus, G.;
In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Singapore, pp. 8847--8851, May 2022. DOI: 10.1109/ICASSP43922.2022.9746017
Single-Pulse Estimation of Target Velocity on Planar Arrays
Costas Kokke; Mario Coutino; Richard Heusdens; Geert Leus; Laura Anitori;
In 2022 30th European Signal Processing Conference (EUSIPCO),
pp. 1811--1815, August 2022. ISSN: 2076-1465. DOI: 10.23919/EUSIPCO55093.2022.9909976

Keywords: ...
Adaptation models,array signal processing,Cramér-Rao bound,Data models,Doppler processing,Estimation,Parallel processing,Planar arrays,pulse-Doppler radar,Signal processing algorithms,Transceivers,velocity estimation.

Abstract: ...
Doppler velocity estimation in pulse-Doppler radar is done by evaluating the target returns of bursts of pulses. While this provides convenience and accuracy, it requires multiple pulses. In adaptive and cognitive radar systems, the ability to adapt on consecutive pulses, instead of bursts, brings potential performance benefits. Hence, with radar transceiver arrays growing increasingly larger in their number of elements over the years, it may be time to re-evaluate how Doppler velocity can be estimated when using large planar arrays. In this work, we present variance bounds on the estimation of velocity using the Doppler shift as it appears in the array model. We also propose an efficient method of performing the velocity estimation and we verify its performance using Monte Carlo simulations.
Direction of Arrival Estimation of Wideband Sources Using Sparse Linear Arrays
Wang, Feiyu; Tian, Zhi; Leus, G.; Fang, Jun;
IEEE Transactions on Signal Processing,
Volume 69, pp. 4444--4457, 2021. DOI: 10.1109/TSP.2021.3094718
A Momentum-Guided Frank-Wolfe Algorithm
Li, Bingcong; Coutino, M.; Giannakis, G.B.; Leus, G.;
IEEE Transactions on Signal Processing,
Volume 69, pp. 3597--3611, 2021. DOI: 10.1109/TSP.2021.3087910
The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain
G. Leus; S. Segarra; A. Ribeiro; A.G. Marques;
Journal of Fourier Analysis and Applications,
Volume 27, Issue 49, 2021.
Graphon Filters: Graph Signal Processing in the Limit
Morency, M.W.; Leus, G.;
IEEE Transactions on Signal Processing,
Volume 69, pp. 1740--1754, 2021. DOI: 10.1109/TSP.2021.3061575
Node-Adaptive Regularization for Graph Signal Reconstruction
Yang, Maosheng; Coutino, M.; Leus, G.; Isufi, E.;
IEEE Open Journal of Signal Processing,
Volume 2, pp. 85--98, 2021. DOI: 10.1109/OJSP.2021.3056897
Online Graph Learning From Time-Varying Structural Equation Models
Natali, A.; Isufi, E.; Coutino, M.; Leus, G.;
In Proc. of Asilomar Conference on Signals, Systems, and Computers (Asilomar),
Monterey, California, USA, pp. 1579--1585, October 2021. DOI: 10.1109/IEEECONF53345.2021.9723163
A Delayed and Subsampled Wideband Sparse Array for Joint Angle and Frequency Estimation
Wang, Feiyu; Leus, G.;
In Proc. of Asilomar Conference on Signals, Systems, and Computers (Asilomar),
Monterey, California, USA, pp. 1634--1639, October 2021. DOI: 10.1109/IEEECONF53345.2021.9723168
Finite Impulse Response Filters for Simplicial Complexes
Yang, Maosheng; Isufi, E.; Schaub, M.T.; Leus, G.;
In Proc. of European Signal Processing Conference (EUSIPCO),
Dublin, Ireland, pp. 2005--2009, August 2021. DOI: 10.23919/EUSIPCO54536.2021.9616185
Multiple Measurement Vector Model for Sparsity-Based Vascular Ultrasound Imaging
Dogan, D.; Kruizinga, P.; Bosch, J.G.; Leus, G.;
In Proc. of IEEE Statistical Signal Processing Workshop (SSP),
Rio de Janeiro, Brazil, pp. 501--505, July 2021. DOI: 10.1109/SSP49050.2021.9513860
Topological Volterra Filters
Leus, G.; Yang, Maosheng; Coutino, M.; Isufi, E.;
In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Toronto, Ontario, Canada, pp. 5385--5399, June 2021. DOI: 10.1109/ICASSP39728.2021.9414275
Online Time-Varying Topology Identification Via Prediction-Correction Algorithms
Natali, A.; Coutino, M.; Isufi, E.; Leus, G.;
In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Rio de Janeiro, Brazil, pp. 5400--5404, July 2021. DOI: 10.1109/ICASSP39728.2021.9415053
Single-pixel thermopile infrared sensing for people counting
E. Hagenaars; A. Pandharipande; A. Murthy; G. Leus;
IEEE Sensors Journal,
2020. DOI: 10.1109/JSEN.2020.3029739
document
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
F. Gama; E. Isufi; G. Leus; A. Ribeiro;
IEEE Signal Processing Magazine,
Volume 37, Issue 6, pp. 128-138, 2020. DOI: 10.1109/MSP.2020.3016143
document
Submodularity in Action: From Machine Learning to Signal Processing Applications
E. Tohidi; R. Amiri; M. Coutino; D. Gesbert; G. Leus; A. Karbasi;
IEEE Signal Processing Magazine,
Volume 37, Issue 5, pp. 120-133, 2020. DOI: 10.1109/MSP.2020.3003836
document
Compressed-Domain Detection and Estimation for Colocated MIMO Radar
E. Tohidi; A. Hariri; H. Behroozi; M. M. Nayebi; G. Leus; A.P. Petropulu;
IEEE Transactions on Aerospace and Electronic Systems,
Volume 56, Issue 6, pp. 4504-4518, 2020. DOI: 10.1109/TAES.2020.2995528
document
State-Space Network Topology Identification From Partial Observations
M. Coutino; E. Isufi; T. Maehara; G. Leus;
IEEE Transactions on Signal and Information Processing over Networks,
Volume 6, pp. 211-225, 2020. DOI: 10.1109/TSIPN.2020.2975393
document
Antenna Placement in a Compressive Sensing-Based Colocated MIMO Radar
A. Ajorloo; A. Amini; E. Tohidi; M. H. Bastani; G. Leus;
IEEE Transactions on Aerospace and Electronic Systems,
Volume 56, Issue 6, pp. 4606-4614, 2020. DOI: 10.1109/TAES.2020.2998196
document
Consensus Based Distributed Sparse Bayesian Learning by Fast Marginal Likelihood Maximization
C. Manss; D. Shutin; G. Leus;
IEEE Signal Processing Letters,
Volume 27, pp. 2119-2123, 2020. DOI: 10.1109/LSP.2020.3039481
document
Time-Varying Convex Optimization: Time-Structured Algorithms and Applications
A. Simonetto; E. Dall'Anese; S. Paternain; G. Leus; G.B. Giannakis;
Proceedings of the IEEE,
Volume 108, Issue 11, pp. 2032-2048, 2020. DOI: 10.1109/JPROC.2020.3003156
document
Coding Mask Design for Single Sensor Ultrasound Imaging
P. van der Meulen; P. Kruizinga; J.G. Bosch; G. Leus;
IEEE Trans. on Computational Imaging,
Volume 6, pp. 358--373, 2020. DOI: 10.1109/TCI.2019.2948729
Observing and Tracking Bandlimited Graph Processes from Sampled Measurements
E. Isufi; P. Banelli; P. Di Lorenzo; G. Leus;
Signal Processing,
Volume 177, pp. 107749, December 2020.
DOA Estimation in Heteroscedastic Noise with Sparse Bayesian Learning
P. Gerstoft; C.F. Mecklenbrauker; S. Nannuru; G. Leus;
Applied Computational Electromagnetics Society J.,
Volume 35, Issue 11, pp. 1439--1440, November 2020.
Underwater Acoustic Communication Using Multiple-Input–Multiple-Output Doppler-Resilient Orthogonal Signal Division Multiplexing
T. Ebihara; H. Ogasawara; G. Leus;
IEEE J. of Oceanic Engineering,
Volume 45, Issue 4, pp. 1594--1610, October 2020. DOI: 10.1109/JOE.2019.2922094
Sensor Placement and Resource Allocation for Energy Harvesting IoT Networks
O.M. Bushnaq; A. Chaaban; S.P. Chepuri; G. Leus; T.Y. Al-Naffouri;
Digital Signal Processing,
Volume 105, pp. 102659, October 2020.
Towards a General Framework for Fast and Feasible k-Space Trajectories for MRI Based on Projection Methods
S. Sharma; M. Coutino; S.P. Chepuri; G. Leus; K.V.S. Hari;
Magnetic Resonance Imaging,
Volume 72, pp. 122--134, October 2020.
Fast Spectral Approximation of Structured Graphs with Applications to Graph Filtering
M. Coutino; S.P. Chepuri; T. Maehara; G. Leus;
Algorithms,
Volume 13, Issue 9, pp. 214, August 2020.
Joint Channel and Doppler Estimation for OSDM Underwater Acoustic Communications
Jing Han; S.P. Chepuri; G. Leus;
Signal Processing,
Volume 170, pp. 107446, May 2020.
Equalization of OSDM over Time-Varying Channels Based on Diagonal-Block-Banded Matrix Enhancement
Jing Han; Yujie Wang; Zehui Gong; G. Leus;
Signal Processing,
Volume 168, pp. 107333, March 2020.
Low-Complexity Equalization of MIMO-OSDM
Jing Han; Shengqian Ma; Yujie Wang; G. Leus;
IEEE Trans. on Vehicular Technology,
Volume 69, Issue 2, pp. 2301--2305, February 2020. DOI: 10.1109/TVT.2019.2957542
Node varying regularization for graph signals
Maosheng Yang; M. Coutino; E. Isufi; G. Leus;
In 29th European Signal Processing Conference (EUSIPCO 2020),
Amsterdam (Netherlands), EURASIP, pp. 845-849, August 2020.
document
DoA estimation via unlimited sensing
S. Fernandez-Menduina; F. Krahmer; G. Leus; A. Bhandari;
In 29th European Signal Processing Conference (EUSIPCO 2020),
Amsterdam (Netherlands), EURASIP, pp. 1866-1870, August 2020.
document
State-space based network topology identification
M. Coutino; E. Isufi; T. Maehara; G. Leus;
In 29th European Signal Processing Conference (EUSIPCO 2020),
Amsterdam (Netherlands), EURASIP, pp. 1055-1059, August 2020.
document
Privacy-Preserving Distributed Graph Filtering
Qiongxiu Li; M. Coutino; G. Leus; M. Graesboll Christensen;
In 29th European Signal Processing Conference (EUSIPCO 2020),
Amsterdam (Netherlands), EURASIP, pp. 2155-2159, August 2020.
document
Low-Complexity Gridless 2D Harmonic Retrieval via Decoupled-ANM Covariance Reconstruction
Yu Zhang; Yue Wang; Zhi Tian; G. Leus; Gong Zhang;
In 29th European Signal Processing Conference (EUSIPCO 2020),
Amsterdam (Netherlands), EURASIP, pp. 1876-1880, August 2020.
document
Blind calibration for arrays with an aberration layer in ultrasound imaging
P. van der Meulen; M. Coutino; P. Kruizinga; J.G. Bosch; G. Leus;
In 29th European Signal Processing Conference (EUSIPCO 2020),
Amsterdam (Netherlands), EURASIP, pp. 1270-1274, August 2020.
document
Sensor commissioning detection in single-pixel thermopile sensing systems
E. Hagenaars; A. Pandharipande; E. Frimout; G. Leus;
In 29th European Signal Processing Conference (EUSIPCO 2020),
Amsterdam (Netherlands), EURASIP, pp. 1807-1811, August 2020.
document
Forecasting multi-dimensional processes over graphs
Alberto Natali; Elvin Isufi; Geert Leus;
In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
Barcelona (Spain), May 2020. DOI: 10.1109/ICASSP40776.2020.9053522
document
Topology-Aware Joint Graph Filter and Edge Weight Identification for Network Processes
Alberto Natali; Mario Coutino; Geert Leus;
In 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP),
Espoo (Finland), September 2020. DOI: 10.1109/MLSP49062.2020.9231913
document
Space Filling Curves for MRI Sampling
Shubham Sharma; K.V.S. Hari; Geert Leus;
In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
IEEE, pp. 1115-1119, 2020. DOI: 10.1109/ICASSP40776.2020.9054372
document
DOA Estimation in Heteroscedastic Noise with sparse Bayesian Learning
P. Gerstoft; C. F. Mecklenbrauker; S. Nannuru; G. Leus;
In 2020 International Applied Computational Electromagnetics Society Symposium (ACES),
pp. 1-2, 2020. DOI: 10.23919/ACES49320.2020.9196188
document
Efficient Super-Resolution Two-Dimensional Harmonic Retrieval Via Enhanced Low-Rank Structured Covariance Reconstruction
Yue Wang; Yu Zhang; Zhi Tian; G. Leus; Gong Zhang;
In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
pp. 5720-5724, 2020. DOI: 10.1109/ICASSP40776.2020.9054756
document
Self-Driven Graph Volterra Models for Higher-Order Link Prediction
M. Coutino; G. V. Karanikolas; G. Leus; G.B. Giannakis;
In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
pp. 3887-3891, 2020. DOI: 10.1109/ICASSP40776.2020.9053655
document
Active Semi-Supervised Learning for Diffusions on Graphs
B. Das; E. Isufi; G. Leus;
In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
pp. 9075-9079, 2020. DOI: 10.1109/ICASSP40776.2020.9054300
document
Wideband Direction of Arrival Estimation with Sparse Linear Arrays
Feiyu Wang; Zhi Tian; Jun Fang; G. Leus;
In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
pp. 4542-4546, 2020. DOI: 10.1109/ICASSP40776.2020.9053681
document
Learning connectivity and higher-order interactions in radial distribution grids
Qiuling Yang; M. Coutino; Gang Wang; G.B. Giannakis; G. Leus;
In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
pp. 5555-5559, 2020. DOI: 10.1109/ICASSP40776.2020.9054665
document
K-Space Trajectory Design for Reduced MRI Scan Time
S. Sharma; K.V.S. Hari; G. Leus;
In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
pp. 1120-1124, 2020. DOI: 10.1109/ICASSP40776.2020.9054306
document
Vector Doppler imaging of small vessels using directionally filtered Power Doppler images
B. Generowicz; L. Verhoef; F. Mastik; S. Dijkhuizen; N. van Dorp; J. Voorneveld; J. Bosch; K. Kumar; G. Leus; C. de Zeeuw; S. Koekkoek; P. Kruizinga;
In 2020 IEEE International Ultrasonics Symposium (IUS),
pp. 1-4, 2020. DOI: 10.1109/IUS46767.2020.9251356
document
Relative kinematics of an anchorless network
R. T. Rajan; G. Leus; A.J. van der Veen;
Signal Processing,
Volume 157, pp. 266-279, April 2019. ISSN: 0165-1684. DOI: 10.1016/j.sigpro.2018.11.005
document
DOA estimation in heteroscedastic noise
P. Gerstoft; S. Nannuru; C.F. Mecklenbrauker; G. Leus;
Signal Processing,
March 2019. DOI: 10.1016/j.sigpro.2019.03.014
document
Advances in Distributed Graph Filtering
M. Coutino; E. Isufi; G. Leus;
IEEE Tr. Signal Processing,
Volume 67, Issue 9, pp. 2320-2333, May 2019. DOI: 10.1109/TSP.2019.2904925
document
Online Graph-Adaptive Learning With Scalability and Privacy
Yanning Shen; G. Leus; G.B. Giannakis;
IEEE Tr. Signal Processing,
Volume 67, Issue 9, pp. 2471-2483, May 2019. DOI: 10.1109/TSP.2019.2904922
document
Low-complexity equalization of orthogonal signal-division multiplexing in doubly-selective channels
Jing Han; Lingling Zhang; Qunfei Zhang; G. Leus;
IEEE Tr. Signal Processing,
Volume 67, Issue 4, pp. 915-929, February 2019. DOI: 10.1109/TSP.2018.2887191
document
Convolutional neural network architectures for signals supported on graphs
F. Gama; A.G. Marques; G. Leus; A. Ribeiro;
IEEE Tr. Signal Processing,
Volume 67, Issue 4, pp. 1034-1049, February 2019. DOI: 10.1109/TSP.2018.2887403
document
Sparse Antenna and Pulse Placement for Colocated MIMO Radar
E. Tohidi; M. Coutino; S.P. Chepuri; H. Behroozi; M.M. Nayebi; G. Leus;
IEEE Tr. Signal Processing,
Volume 67, Issue 3, pp. 579-593, February 2019. DOI: 10.1109/TSP.2018.2881656
document
Time-domain oversampled orthogonal signal-division multiplexing underwater acoustic communications
Jing Han; Yujie Wang; Lingling Zhang; G. Leus;
The Journal of the Acoustical Society of America,
Volume 145, Issue 1, pp. 292-300, 2019. DOI: 10.1121/1.5087131
document
Filter Design for Autoregressive Moving Average Graph Filters
Jiani Liu; E. Isufi; G. Leus;
IEEE Transactions on Signal and Information Processing over Networks,
Volume 5, Issue 1, pp. 47-60, March 2019. DOI: 10.1109/TSIPN.2018.2854627
document
Super-Resolution Channel Estimation for Arbitrary Arrays in Hybrid Millimeter-Wave Massive MIMO Systems
Yue Wang; Yu Zhang; Zhi Tian; Geert Leus; Gong Zhang;
IEEE Journal of Selected Topics in Signal Processing,
Volume 13, Issue 5, pp. 947--960, 2019. ISSN: 1932-4553. DOI: 10.1109/JSTSP.2019.2937632

Abstract: ...
This paper develops efficient channel estimation techniques for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems under practical hardware limitations, including an arbitrary array geometry and a hybrid hardware structure. Taking on an angle-based approach, this work adopts a generalized array manifold separation approach via Jacobi-Anger approximation, which transforms a non-ideal, non-uniform array manifold into a virtual array domain with a desired uniform geometric structure to facilitate super-resolution angle estimation and channel acquisition. Accordingly, structure-based optimization techniques are developed to effectively estimate both the channel covariance and the instantaneous channel state information (CSI) within a short sensing time. The different time-varying scales of channel path angles versus path gains are capitalized to design a two-step CSI estimation scheme that can quickly sense fading channels. Theoretical results are provided on the fundamental limits of the proposed technique in terms of sample efficiency. For computational efficiency, a fast iterative algorithm is developed via the alternating direction method of multipliers. Other related issues such as spurious-peak cancellation in non-uniform linear arrays and extensions to higher-dimensional cases are also discussed. Simulations testify the effectiveness of the proposed approaches in hybrid mmWave massive MIMO systems with arbitrary arrays.

document
Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs
F. Gama; E. Isufi; A. Ribeiro; G. Leus;
IEEE Trans. on Signal Processing,
Volume 67, Issue 24, pp. 6440--6454, December 2019. DOI: 10.1109/TSP.2019.2952053
Forecasting Time Series With VARMA Recursions on Graphs
E. Isufi; A. Loukas; N. Perraudin; G. Leus;
IEEE Trans. on Signal Processing,
Volume 67, Issue 18, pp. 4870--4885, September 2019. DOI: 10.1109/TSP.2019.2929930
Sparse Sampling for Inverse Problems With Tensors
G. Ortiz-Jimenez; M. Coutino; S.P. Chepuri; G. Leus;
IEEE Trans. on Signal Processing,
Volume 67, Issue 12, pp. 3272--3286, June 2019.
Iterative Per-Vector Equalization for Orthogonal Signal-Division Multiplexing Over Time-Varying Underwater Acoustic Channels
Jing Han; S.P. Chepuri; Qunfei Zhang; G. Leus;
IEEE J. of Oceanic Engineering,
Volume 44, Issue 1, pp. 240--255, January 2019.
Aggregation Graph Neural Networks
F. Gama; A.G. Marques; A. Ribeiro; G. Leus;
In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Brighton, UK, IEEE, pp. 4943-4947, May 2019. DOI: 10.1109/ICASSP.2019.8682975
document
Blind calibration of sparse arrays for DOA estimation with analog and one-bit measurements
K.N. Ramamohan; S.P. Chepuri; D.F. Comesana; G. Leus;
In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Brighton, UK, IEEE, pp. 4185-4189, May 2019. DOI: 10.1109/ICASSP.2019.8682592
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Scalable Learning with Privacy over Graphs
Yanning Shen; Geert Leus;
In 2019 IEEE Data Science Workshop (DSW),
IEEE, pp. 83--87, 2019. ISBN: 978-1-7281-0709-7. DOI: 10.1109/DSW.2019.8755782

Abstract: ...
Graphs have well-documented merits for modeling complex systems, including financial, biological, and social networks. Network nodes can also include attributes such as age or gender of users in a social network. However, the size of real-world networks can be massive, and nodal attributes can be unavailable. Moreover, new nodes may emerge over time, and their attributes must be inferred in real time. In this context, the present paper deals with scalable learning of nodal attributes by estimating a nodal function based on noisy observations at a subset of nodes. A multikernel-based approach is developed which is scalable to large-size networks. The novel method is capable of providing real-time evaluation of the function values on newly-joining nodes without resorting to a batch solver. In addition, the novel scheme only relies on an encrypted version of each node's connectivity, which promotes privacy. Experiments on real datasets corroborate the effectiveness of the proposed methods.

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Asynchronous Distributed Edge-Variant Graph Filters
Mario Coutino; Geert Leus;
In 2019 IEEE Data Science Workshop (DSW),
IEEE, pp. 115--119, 2019. ISBN: 978-1-7281-0709-7. DOI: 10.1109/DSW.2019.8755577

Abstract: ...
As the size of the sensor network grows, synchronization starts to become the main bottleneck for distributed computing. As a result, efforts in several areas have been focused on the convergence analysis of asynchronous computational methods. In this work, we aim to cross-pollinate distributed graph filters with results in parallel computing to provide guarantees for asynchronous graph filtering. To alleviate the possible reduction of convergence speed due to asynchronous updates, we also show how a slight modification to the graph filter recursion, through operator splitting, can be performed to obtain faster convergence. Finally, through numerical experiments the performance of the discussed methods is illustrated.

document
Coordination Methods for Entropy-Based Multi-Agent Exploration Under Sparsity Constraints
C. Manss; D. Shutin; A. Viseras; G. Leus;
In Proc. of IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
Le Gosier, Guadeloupe, pp. 490--494, December 2019. DOI: 10.1109/CAMSAP45676.2019.9022453
Learning Sparse Hypergraphs from Dyadic Relational Data
M. Coutino; S.P. Chepuri; G. Leus;
In Proc. of IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
Le Gosier, Guadeloupe, pp. 216--220, December 2019. DOI: 10.1109/CAMSAP45676.2019.9022661
Angle-Based Channel Estimation with Arbitrary Arrays
Yue Wang; Yu Zhang; Zhi Tian; G. Leus; Gong Zhang;
In Proc. of IEEE Global Communications Conf. (GLOBECOM),
Waikoloa, Hawaii, USA, December 2019. DOI: 10.1109/GLOBECOM38437.2019.9013215
Super-Resolution Spatial Channel Covariance Estimation for Hybrid Precoding in mmWave Massive MIMO
Yu Zhang; Yue Wang; Zhi Tian; G. Leus; Gong Zhang;
In Proc. of IEEE Global Communications Conf. (GLOBECOM),
Waikoloa, Hawaii, USA, December 2019. DOI: 10.1109/GLOBECOM38437.2019.9014327
Graph Filter Design Using Sum-of-Squares Representation
T. Aittomaki; G. Leus;
In Proc. of European Signal Processing Conf. (EUSIPCO),
A Coruna, Spain, November 2019. DOI: 10.23919/EUSIPCO.2019.8903022
Blind Sensor Array Calibration and DOA Estimation of Broadband Sources
K.N. Ramamohan; S.P. Chepuri; D.F. Comesana; G. Leus;
In Proc. of Asilomar Conf. on Signals, Systems, and Computers (Asilomar),
pp. 1304--1308, November 2019. DOI: 10.1109/IEEECONF44664.2019.9048679
Design Strategies for Sparse Control of Random Time-Varying Networks
M. Coutino; E. Isufi; F. Gama; A. Ribeiro; G. Leus;
In Proc. of Asilomar Conf. on Signals, Systems, and Computers (Asilomar),
Pacific Grove, California, USA, pp. 184--188, November 2019. DOI: 10.1109/IEEECONF44664.2019.9049024
On Distributed Consensus by a Cascade Of Generalized Graph Filters
M. Coutino; G. Leus;
In Proc. of Asilomar Conf. on Signals, Systems, and Computers (Asilomar),
Pacific Grove, California, USA, pp. 46--50, November 2019. DOI: 10.1109/IEEECONF44664.2019.9048983
Convolutional Graph Neural Networks
F. Gama; A.G. Marques; G. Leus; A. Ribeiro;
In Proc. of Asilomar Conf. on Signals, Systems, and Computers (Asilomar),
Pacific Grove, California, USA, pp. 452--456, November 2019. DOI: 10.1109/IEEECONF44664.2019.9048767
Non-Cooperative Aerial Base Station Placement via Stochastic Optimization
D. Romero; G. Leus;
In Proc. of Intl. Conf. on Mobile Ad-Hoc and Sensor Networks (MSN),
Shenzhen, China, pp. 131--136, December 2019. DOI: 10.1109/MSN48538.2019.00036
Phase-based distance determination for wireless sensor networks
T. Kazaz; M. Coutino; G.J.M. Janssen; G.J.T. Leus; A.J. van der Veen;
Patent, USPTO 621 81 5,1 64, March 2019.
Iterative Per-Vector Equalization for Orthogonal Signal-Division Multiplexing Over Time-Varying Underwater Acoustic Channels
Jin Han; S.P. Chepuri; Qunfei Zhang; G. Leus;
IEEE Journ. of Oceanic Engineering,
October 2018.
document
Filter design for autoregressive moving average graph filters
Jiani Liu; E. Isufi; G. Leus;
IEEE Transactions on Signal and Information Processing over Networks,
2018. ISSN: 2373-776X. DOI: 10.1109/TSIPN.2018.2854627
document
Spatio-temporal field estimation using Kriged Kalman Filter (KKF) with sparsity-enforcing sensor placement
V. Roy; A. Simonetto; G. Leus;
Sensors,
Volume 8, Issue 6, 2018. DOI: 10.3390/s18061778
document
Uniaxial Acoustic Vector Sensors for direction-of-arrival estimation
K. Nambur Ramamohan; D. Fernandez Comesana; G. Leus;
Journal of Sound and Vibration,
Volume 437, pp. 276-291, 2018. ISSN: 0022-460X. DOI: 10.1016/j.jsv.2018.08.031
document
Submodular Sparse Sensing for Gaussian Detection With Correlated Observations
M. Coutino; S. P. Chepuri; G. Leus;
IEEE Transactions on Signal Processing,
Volume 66, Issue 15, pp. 4025-4039, August 2018. ISSN: 1053-587X. DOI: 10.1109/TSP.2018.2846220
document
Experimental Assessment of the Coarray Concept for DoA Estimation in Wireless Communications
Jiachen Wang; Hantao Xu; G.J.T. Leus; G.A.E. Vandenbosch;
IEEE Transactions on Antennas and Propagation,
Volume 66, Issue 6, pp. 3064-3075, June 2018. ISSN: 0018-926X. DOI: 10.1109/TAP.2018.2819824
document
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies
P. Di Lorenzo; P. Banelli; E. Isufi; S. Barbarossa; G. Leus;
IEEE Transactions on Signal Processing,
Volume 66, Issue 13, pp. 3584-3598, July 2018. ISSN: 1053-587X. DOI: 10.1109/TSP.2018.2835384
document
Blind Graph Topology Change Detection
E. Isufi; A. S. U. Mahabir; G. Leus;
IEEE Signal Processing Letters,
Volume 25, Issue 5, pp. 655-659, May 2018. ISSN: 1070-9908. DOI: 10.1109/LSP.2018.2819127
document
Underwater acoustic communication using Doppler-resilient orthogonal signal division multiplexing in a harbor environment
T. Ebihara; G. Leus; H. Ogasawara;
Physical Communication,
Volume 27, pp. 24-35, 2018. ISSN: 1874-4907. DOI: 10.1016/j.phycom.2018.01.001
document
Eigendecomposition-Based Partial FFT Demodulation for Differential OFDM in Underwater Acoustic Communications
Jing Han; Lingling Zhang; Qunfei Zhang; Geert Leus;
IEEE Tr. Vehicular Technology,
Volume 67, Issue 7, pp. 6706-6710, 2018. ISSN: 0018-9545. DOI: 10.1109/TVT.2018.281332
document
Structured ultrasound microscopy
J. Janjic; P. Kruizinga; P. van der Meulen; G. Springeling; F. Mastik; G. Leus; J.G. Bosch; A.F.W. van der Steen; G. van Soest;
Applied Physics Letters,
Volume 112, Issue 25, April 2018. DOI: 10.1063/1.5026863
document
Joint Detection and Localization of an Unknown Number of Sources Using the Algebraic Structure of the Noise Subspace
M. W. Morency; S. A. Vorobyov; G. Leus;
IEEE Transactions on Signal Processing,
Volume 66, Issue 17, pp. 4685--4700, September 2018.
document
Statistical Graph Signal Processing: Stationarity and Spectral Estimation
S. Segarra; S.P. Chepuri; A.G. Marques; G. Leus;
In Cooperative and Graph Signal Processing,
Academic Press, 2018. ISBN: 978-0-12-813677-5. DOI: 10.1016/B978-0-12-813677-5.00012-2
document
DOA estimation in heteroscedastic noise with Sparse Bayesian Learning
P. Gerstoft; S. Nannuru; C. Mecklenbrauker; G. Leus;
In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
Calgary (Canada), IEEE, pp. 3459-3463, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8462447
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Subset selection for kernel-based signal reconstruction
M. Coutino; S.P. Chepuri; G. Leus;
In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
Calgary (Canada), IEEE, pp. 4014-4018, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8461510
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Blind calibration for acoustic vector sensor arrays
K. Nambur Ramamohan; S.P. Chepuri; D.F. Comesana; G. Carrillo Pousa; G. Leus;
In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
Calgary (Canada), IEEE, pp. 3544-3548, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8462035
document
Distributed Analytical Graph Identification
S.P. Chepuri; M. Coutino; A. G. Marques; G. Leus;
In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
Calgary (Canada), IEEE, pp. 4064-4068, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8461484
document
Graph Sampling With and Without Input Priors
S.P. Chepuri; Y. Eldar; G. Leus;
In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
Calgary (Canada), IEEE, pp. 4564-4568, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8461420
document
Distributed splitting-over-features Sparse Bayesian Learning with Alternating Direction Method of Multipliers
C. Manss; D. Shutin; G. Leus;
In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
Calgary (Canada), IEEE, pp. 3654-3658, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8462229
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Sparse Bayesian learning for DOA estimation of correlated sources
C.F. Mecklenbrauker; P. Gerstoft; G. Leus;
In IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM2018),
Sheffield (UK), IEEE, pp. 533-537, July 2018. ISSN: 2151-870X. DOI: 10.1109/SAM.2018.8448880
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Aggregation Convolutional Neural Networks for Graph Signals
F. Gama; A. Ribeiro; A. Marques; G. Leus;
In Graph Signal Processing Workshop (GSP18),
Lausanne (CH), June 2018.
Control of graph signals over random time-varying graphs
F. Gama; E. Isufi; G. Leus; A. Ribeiro;
In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
Calgary (Canada), IEEE, pp. 4169-4173, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8462381
document
Edge-Variant Graph Filters
G. Leus; M. Coutino; E. Isufi;
In Graph Signal Processing Workshop (GSP18),
Lausanne (CH), IEEE, June 2018.
Observing Bandlimited Graph Processes
E. Isufi; G. Leus; P. Banelli; P. Di Lorenzo;
In Graph Signal Processing Workshop (GSP18),
Lausanne (CH), June 2018.
Blind Graph Topology Change Detection
E. Isufi; G. Leus;
In Graph Signal Processing Workshop (GSP18),
Lausanne (CH), June 2018.
Sparsest network support estimation: a submodular approach
M. Coutino; S.P. Chepuri; G. Leus;
In IEEE Data Science Workshop (DSW18),
Lausanne (CH), IEEE, pp. 200-204, June 2018. DOI: 10.1109/DSW.2018.8439890
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Convolutional neural networks via node-varying graph filters
F. Gama; G. Leus; A. Marques; A. Ribeiro;
In IEEE Data Science Workshop (DSW18),
Lausanne (CH), IEEE, pp. 1-5, June 2018. DOI: 10.1109/DSW.2018.8439899
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Distributed Wiener-Based Reconstruction of Graph Signals
E. Isufi; P. Di Lorenzo; P. Banelli; G. Leus;
In 2018 IEEE Statistical Signal Processing Workshop (SSP),
pp. 21-25, June 2018. DOI: 10.1109/SSP.2018.8450828
document
Signal-to-Noise-Ratio Analysis of Compressive Data Acquisition
R. Pribić; G. Leus; C. Tzotzadinis;
In 2018 IEEE Statistical Signal Processing Workshop (SSP),
pp. 603-607, June 2018. DOI: 10.1109/SSP.2018.8450796
document
Joint Ranging and Clock Synchronization for a Dense Heterogeneous IoT Networks
T. Kazaz; M. Coutino; G. Leus; A.J. van der Veen; G. Janssen;
In 52nd Asilomar Conference on Signals, Systems and Computers,
Asilomar, CA, IEEE, pp. 2169-2173, November 2018. DOI: 10.1109/ACSSC.2018.8645210
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MIMO Graph Filters for Convolutional Neural Networks
F. Gama; A.G. Marques; A. Ribeiro; G. Leus;
In Proc. of the IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2018),
Kalamata, Greece, June 2018.
document
Underwater Acoustic Communication Using Multiple-Input Multiple-Output Doppler-Resilient Orthogonal Signal Division Multiplexing
T. Ebihara; G. Leus; H. Ogasawara;
In Proc. of Oceans (Oceans 2018),
Kobe, Japan, May 2018.
Sampling and Reconstruction of Signals on Product Graphs
G. Ortiz-Jimenez; M. Coutino; S.P. Chepuri; G. Leus;
In Proc. of the IEEE Global Conference on Signal and Information Processing (GlobalSIP 2018),
Anaheim, California, USA, November 2018.
Observing Bandlimited Graph Processes from Subsampled Measurements
E. Isufi; P. Banelli; P. Di Lorenzo; G. Leus;
In 52nd Asilomar Conference on Signals, Systems and Computers,
IEEE, November 2018.
On the Limits of Finite-Time Distributed Consensus through Successive Local Linear Operations
M. Coutino; E. Isufi; G. Leus;
In 52nd Asilomar Conference on Signals, Systems and Computers,
IEEE, November 2018.
Calibration techniques for single-sensor ultrasound imaging with a coding mask
P. van der Meulen; P. Kruizinga; J.G. Bosch; G. Leus;
In 52nd Asilomar Conference on Signals, Systems and Computers,
IEEE, November 2018.
document
Efficient and Flexible Spatiotemporal Clutter Filtering of High Frame Rate Images Using Subspace Tracking
B.S. Generowicz; G. Leus; S.S. Tbalvandanv; W.S. Van Hoogstraten; C. Strydis; J.G. Bosch; A.F.W. van der Steen; C.I. de Zeeuw; S.K.E. Koekkoek; P. Kruizinga;
In 2018 IEEE International Ultrasonics Symposium (IUS),
pp. 206-212, Oct. 2018. ISSN 1948-5727. DOI: 10.1109/ULTSYM.2018.8579775
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High Frequency Functional Ultrasound in Mice
S.K.E. Koekkoek; S.S. Tbalvandany; B.S. Generowicz; W.S. van Hoogstraten; N.L. de Oude; H.J. Boele; C. Strydis; G. Leus; J.G. Bosch; A.F.W. van der Steen; C.I. de Zeeuw; P. Kruizinga;
In 2018 IEEE International Ultrasonics Symposium (IUS),
pp. 1-4, Oct. 2018. ISSN 1948-5727. DOI: 10.1109/ULTSYM.2018.8579865
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Radar network topology optimization for joint target position and velocity estimation
I. Ivasho; G. Leus; A. Yarovoy;
Signal Processing,
Volume 130, pp. 279-288, 2017. DOI: 10.1016/j.sigpro.2016.07.010
document
Autoregressive Moving Average Graph Filtering
E. Isufi; A. Loukas; A. Simonetto; G. Leus;
IEEE Trans. Signal Processing,
Volume 65, Issue 2, pp. 274-288, January 2017. DOI: 10.1109/TSP.2016.2614793
document
Consistent sensor, relay, and link selection in wireless sensor networks
R. Arroyo-Valles; A. Simonetto; G.J.T. Leus;
Signal Processing,
Volume 140, pp. 32-44, 2017. DOI: 10.1016/j.sigpro.2017.04.020
document
Filtering Random Graph Processes Over Random Time-Varying Graphs
E. Isufi; A. Loukas; A. Simonetto; G. Leus;
IEEE Transactions on Signal Processing,
Volume 65, Issue 16, pp. 4406-4421, August 2017. ISSN: 1053-587X. DOI: 10.1109/TSP.2017.2706186
document
Robust Differential Received Signal Strength-Based Localization
Yongchang Hu; G. Leus;
IEEE Transactions on Signal Processing,
Volume 65, Issue 12, pp. 3261-3276, June 2017. ISSN: 1053-587X. DOI: 10.1109/TSP.2017.2684741
document
Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization
A. Simonetto; A. Koppel; A. Mokhtari; G. Leus; A. Ribeiro;
IEEE Transactions on Automatic Control,
Volume 62, Issue 11, pp. 5724-5738, November 2017. ISSN: 0018-9286. DOI: 10.1109/TAC.2017.2694611
document
Stationary Graph Processes and Spectral Estimation
A. G. Marques; S. Segarra; G. Leus; A. Ribeiro;
IEEE Transactions on Signal Processing,
Volume 65, Issue 22, pp. 5911-5926, November 2017. ISSN: 1053-587X. DOI: 10.1109/TSP.2017.2739099
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On a unified framework for linear nuisance parameters
Yongchang Hu; G. Leus;
EURASIP Journal on Advances in Signal Processing,
Volume 2017, Issue 1, pp. 4, January 2017. ISSN: 1687-6180. DOI: 10.1186/s13634-016-0438-8
document
Space-Time and Space-Frequency Block Coded Vector OFDM Modulation
Jing Han; G. Leus;
IEEE Communications Letters,
Volume 21, Issue 1, pp. 204-207, January 2017. ISSN: 1089-7798. DOI: 10.1109/LCOMM.2016.2614812
document
Compressive 3D ultrasound imaging using a single sensor
P. Kruizinga; P. van der Meulen; A. Fedjajevs; F. Mastik; G. Springeling; N. de Jong; J.G. Bosch; G. Leus;
Science Advances,
Volume 3, December 2017. ISSN: 2375-2548. DOI: 10.1126/sciadv.1701423
document
Youtube
Model-based image reconstruction for medical ultrasound
P. Kruizinga; P. van der Meulen; F. Mastik; N. de Jong; J. G. Bosch; G. Leus;
The Journal of the Acoustical Society of America,
Volume 141, Issue 5, pp. 3610-3610, June 2017. DOI: 10.1121/1.4987733
Space-frequency coded orthogonal signal-division multiplexing over underwater acoustic channels
Jing Han; Wentao Shi; G. Leus;
The Journal of the Acoustical Society of America,
Volume 141, Issue 6, pp. EL513-EL518, 2017. DOI: 10.1121/1.4983632
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Graph Sampling for Covariance Estimation
S. P. Chepuri; G. Leus;
IEEE Transactions on Signal and Information Processing over Networks,
Volume 3, Issue 3, pp. 451-466, September 2017. DOI: 10.1109/TSIPN.2017.2731161
document
Multi-Layer Precoding: A Potential Solution for Full-Dimensional Massive MIMO Systems
A. Alkhateeb; G. Leus; R. W. Heath;
IEEE Transactions on Wireless Communications,
Volume 16, Issue 9, pp. 5810-5824, September 2017. ISSN: 1536-1276. DOI: 10.1109/TWC.2017.2716362
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Gradient-based solution for hybrid precoding in MIMO systems
N. Bakhshi Zanjani; S. Khademi; G. Leus;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
New Orleans (USA), IEEE, pp. 3489-3493, March 2017. DOI: 10.1109/ICASSP.2017.7952805
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Stationary graph processes: parametric power spectral estimation
S. Segarra; A. G. Marques; G. Leus; A. Ribeiro;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
New Orleans (USA), IEEE, pp. 4099-4103, March 2017. DOI: 10.1109/ICASSP.2017.7952927
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Autoregressive moving average graph filters--a stable distributed implementation
E. Isufi; A. Loukas; G. Leus;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
New Orleans (USA), IEEE, pp. 4119-4123, March 2017. DOI: 10.1109/ICASSP.2017.7952931
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Distributed sensor selection for field estimation
Sijia Liu; S.P. Chepuri; G. Leus; A.O. Hero;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
New Orleans (USA), IEEE, pp. 4257-4261, March 2017. DOI: 10.1109/ICASSP.2017.7952959
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Distributed sparsified graph filters for denoising and diffusion tasks
E. Isufi; G. Leus;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
New Orleans (USA), IEEE, pp. 5865-5869, March 2017. DOI: 10.1109/ICASSP.2017.7953281
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Learning sparse graphs under smoothness prior
S.P. Chepuri; Sijia Liu; G. Leus; A.O. Hero;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
New Orleans (USA), IEEE, pp. 6508-6512, March 2017. DOI: 10.1109/ICASSP.2017.7953410
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Information Distances for Radar Resolution Analysis
R. Pribic; G. Leus;
In 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
Curacao, IEEE, December 2017. ISBN 978-1-5386-1250-7.
Sparse Sensing for Composite Matched Subspace Detection
M. Coutino; S. P. Chepuri; G. Leus;
In 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
Curacao, IEEE, December 2017. ISBN 978-1-5386-1250-7.
Acoustical compressive 3D imaging with a single sensor
P. Kruizinga; P. van der Meulen; F. Mastik; A. Fedjajevs; G. Springeling; N. de Jong; G. Leus; J. G. Bosch;
In 2017 IEEE International Ultrasonics Symposium (IUS),
pp. 1-1, September 2017. DOI: 10.1109/ULTSYM.2017.8091779
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Signal Processing on Kernel-Based Random Graphs
M.W. Morency; G.J.T. Leus;
In 25th European Signal Processing Conference (EUSIPCO 2017),
Kos (Greece), EURASIP, pp. 385-389, August 2017. ISBN 978-0-9928626-7-1. DOI: 10.23919/EUSIPCO.2017.8081230
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Distributed Recursive Least Squares Strategies for Adaptive Reconstruction of Graph Signals
P. Di Lorenzo; E. Isufi; P. Banelli; S. Barbarossa; G. Leus;
In 25th European Signal Processing Conference (EUSIPCO 2017),
Kos (Greece), EURASIP, pp. 2353-2357, August 2017. ISBN 978-0-9928626-7-1. DOI: 10.23919/EUSIPCO.2017.8081618
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Joint Sensor Placement and Power Rating Selection in Energy Harvesting Wireless Sensor Networks
O. M. Bushnaq; T. Y. Al-Naffouri; S.P. Chepuri; G.J.T. Leus;
In 25th European Signal Processing Conference (EUSIPCO 2017),
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Near-Optimal Greedy Sensor Selection for MVDR Beamforming with Modular Budget Constraint
M. Coutino; S.P. Chepuri; G.J.T. Leus;
In 25th European Signal Processing Conference (EUSIPCO 2017),
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Stationary Graph Signals: Power Spectral Density Estimation and Sampling (distinguished lecture)
G. Leus;
In 2017 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP),
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Autoregressive moving average graph filter design
Jiani Liu; E. Isufi; G. Leus;
In 2017 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP),
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DOA Estimation and Beamforming Using Spatially Under-Sampled AVS Arrays
K. Nambur Ramamohan; M. M. Coutino; S.P. Chepuri; D. Fernandez Comesana; G. Leus;
In 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
Curacao, IEEE, December 2017. ISBN 978-1-5386-1250-7.
Distributed Edge-Variant Graph Filters
M. Coutino; E. Isufi; G. Leus;
In 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
Curacao, IEEE, December 2017. ISBN 978-1-5386-1250-7.
Antenna and Pulse Selection for Colocated MIMO Radar
E. Tohidi; H. Behroozi; G. Leus;
In 51st Asilomar Conf. on Signals, Systems and Computers,
Asilomar (CA), IEEE, October 2017.
Spatial Compression in Ultrasound Imaging
P. van der Meulen; P. Kruizinga; J. G. Bosch; G. Leus;
In 51st Asilomar Conf. on Signals, Systems and Computers,
Asilomar (CA), IEEE, October 2017.
Impulse response estimation method for ultrasound arrays
P. van der Meulen; P. Kruizinga; J. G. Bosch; G. Leus;
In 2017 IEEE International Ultrasonics Symposium (IUS),
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Advanced flooding-based routing protocols for underwater sensor networks
E. Isufi; H. Dol; G. Leus;
EURASIP Journal on Advances in Signal Processing,
Volume 2016:52, Issue 1, pp. 1-12, January 2016. DOI: 10.1186/s13634-016-0346-y
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Compressive Covariance Sensing: Structure-based compressive sensing beyond sparsity
D. Romero; D.D. Ariananda; Zhi Tian; G. Leus;
IEEE Signal Processing Magazine,
Volume 33, Issue 1, pp. 78-93, January 2016. DOI: 10.1109/MSP.2015.2486805
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Dynamic rainfall monitoring using microwave links
V. Roy; S. Gishkori; G. Leus;
EURASIP J. Adv. Signal Processing,
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Spatio-temporal sensor management for environmental field estimation
V. Roy; A. Simonetto; G. Leus;
Signal Processing,
Volume 128, pp. 369-381, November 2016. DOI: 10.1016/j.sigpro.2016.05.011
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A Class of Prediction-Correction Methods for Time-Varying Convex Optimization
A. Simonetto; A. Mokhtari; Alec Koppel; G. Leus; A. Ribeiro;
IEEE Tr. Signal Proc.,
Volume 64, Issue 17, pp. 4576-4591, September 2016. DOI: 10.1109/TSP.2016.2568161
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Space-time and space-frequency block coded vector OFDM modulation
Jing Han; G. Leus;
IEEE Communication Letters,
Volume PP, Issue 99, pp. 1-1, October 2016. DOI: 10.1109/LCOMM.2016.2614812
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Sparse Sensing for Distributed Detection
S.P. Chepuri; G. Leus;
IEEE Tr. Signal Proc.,
Volume 64, Issue 6, pp. 1446-1460, March 2016. DOI: 10.1109/TSP.2015.2491890
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Doppler-Resilient Orthogonal Signal-Division Multiplexing for Underwater Acoustic Communication
T. Ebihara; G. Leus;
IEEE Journal of Oceanic Engineering,
Volume 41, Issue 2, pp. 408-427, 2016. DOI: 10.1109/JOE.2015.2454411
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Partial FFT Demodulation for MIMO-OFDM Over Time-Varying Underwater Acoustic Channels
Jing Han; Lingling Zhang; G. Leus;
IEEE Signal Processing Letters,
Volume 23, Issue 2, pp. 282-286, February 2016. DOI: 10.1109/LSP.2015.2514059
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Robust Censoring Using Metropolis-Hastings Sampling
G. Kail; S.P. Chepuri; G. Leus;
IEEE Journal of Selected Topics in Signal Processing,
Volume 10, Issue 2, pp. 270-283, March 2016. DOI: 10.1109/JSTSP.2015.2506142
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Sampling of Graph Signals with Successive Local Aggregations
A. Marques; S. Segarra; G. Leus; A. Ribeiro;
IEEE Transaction on Signal Processing,
Volume 64, Issue 7, pp. 1832-1843, 2016. DOI: 10.1109/TSP.2015.2507546
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Harbor trial of underwater acoustic communication using Doppler-resilient orthogonal signal division multiplexing
T. Ebihara; G. Leus; H. Ogasawara;
The Journal of the Acoustical Society of America,
Volume 140, Issue 4, pp. 3229-3230, 2016. DOI: 10.1121/1.4970207
Reconstruction of Graph Signals Through Percolation from Seeding Nodes
S. Segarra; A. G. Marques; G. Leus; A. Ribeiro;
IEEE Transactions on Signal Processing,
Volume 64, Issue 16, pp. 4363--4378, August 2016. DOI: 10.1109/TSP.2016.2552510
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Sensor Selection for Estimation with Correlated Measurement Noise
S. Liu; S. P. Chepuri; M. Fardad; E. Masazade; G. Leus; P.K. Varshney;
IEEE Transactions on Signal Processing,
Volume 64, Issue 13, pp. 3509--3522, July 2016. DOI: 10.1109/TSP.2016.2550005
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Graph Sampling for Covariance Estimation
S.P. Chepuri; G. Leus;
In Subm. IEEE Journ. of Selec. Topics in Signal Proc.,
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Sparse Sensing for Statistical Inference
S.P. Chepuri; G. Leus;
Boston-Delft: Foundations and Trends in Signal Processing, , 2016. ISBN-978-1-68083-236-5.. DOI: 10.1561/2000000069
Space-shift sampling of graph signals
S. Segarra; A. Marques; G. Leus; A. Ribeiro;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
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Directional maximum likelihood self-estimation of the path-loss exponent
Yongchang Hu; G. Leus;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
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Direction of arrival estimation based on information geometry
M. Coutino; R. Pribic; G. Leus;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
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Towards multi-rigid body localization
A. Pizzo; S.P. Chepuri; G. Leus;
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RSS-based sensor localization in underwater acoustic sensor networks
Tao Xu; Yongchang Hu; Bingbing Zhang; G. Leus;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
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Stationary Graph Processes: Nonparametric Spectral Estimation
S. Segarra; A.G. Marques; G. Leus; A. Ribeiro;
In IEEE Workshop on Sensor Array Multichannel,
Sao Paulo, Brazil, July 2016.
Deterministic Fourier-Based Dictionary Design for Sparse Reconstruction
D.D. Ariananda; H. Jamali-Rad; Zijian Tang; G. Leus; X. Campman;
In IEEE Workshop on Sensor Array Multichannel,
Sao Paulo, Brazil, July 2016.
A Quasi-Newton Prediction-Correction Method for Decentralized Dynamic Convex Optimization
A. Simonetto; A. Koppel; A. Mokhtari; A. Ribeiro; G. Leus;
In European Control Conference,
Aalborg, Denmark, June 2016.
Separable Autoregressive Moving Average Graph-Temporal Filters
E. Isufi; A. Loukas; A. Simonetto; G. Leus;
In EUSIPCO,
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Spectrum Sensing Using Energy Detectors with Performance Computation Capabilities
L. Rugini; P. Banelli; G. Leus;
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2-Dimensional Finite Impulse Response Graph-Temporal Filters
E. Isufi; G. Leus; P. Banelli;
In IEEE Global Conference on Signal and Information Processing (GlobalSIP),
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An Ideal-Theoretic Criterion for Localization of an Unknown Number of Sources
M.W. Morency; S.A. Vorobyov; G. Leus;
In 50th Asilomar ConFerence on signals, systems and Computers,
November 2016.
Autoregressive Moving Average Graph Filter Design
Jiani Liu; E. Isufi; G. Leus;
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Stochastic resolution analysis of co-prime arrays in radar
R. Pribic; M. Coutino; G. Leus;
In IEEE Stat. Signal Proc. Workshop,
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Bound on the estimation grid size for sparse reconstruction in direction of arrival estimation
M. Coutino; R. Pribic; G. Leus;
In IEEE Stat. Signal Proc. Workshop,
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Subsampling for Graph Power Spectrum Estimation
S.P. Chepuri; G. Leus;
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Subsampling for Graph Signal Detection
S.P. Chepuri; G. Leus;
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Sparsity-aware multiple microseismic event localization blind to the source time-function
H. Jamali-Rad; Zijian Tang; X. Campman; A. Droujinine; G. Leus;
Geophysical Prospecting,
Volume 63, Issue 1, pp. 70-77, January 2015. DOI: 10.1111/1365-2478.12166
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Sparsity-Promoting Sensor Selection for Non-Linear Measurement Models
S.P. Chepuri; G. Leus;
IEEE Trans. Signal Proc.,
Volume 63, Issue 3, pp. 684-698, February 2015. DOI: 10.1109/TSP.2014.2379662
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Self-Estimation of Path-Loss Exponent in Wireless Networks and Applications
Yongchang Hu; G. Leus;
IEEE Trans. Vehicular Techn.,
Volume 64, Issue 11, pp. 5091--5102, 2015. DOI: 10.1109/TVT.2014.2380823
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Continuous Sensor Placement
S.P. Chepuri; G. Leus;
IEEE Signal Processing Letters,
Volume 22, Issue 5, pp. 544-548, May 2015. DOI: 10.1109/LSP.2014.2363731
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Joint relative position and velocity estimation for an anchorless network of mobile nodes
R.T. Rajan; G. Leus; A.J. van der Veen;
Signal Processing,
Volume 115, pp. 66-78, October 2015. DOI: 10.1016/j.sigpro.2015.02.023
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Compressive Periodogram Reconstruction Using Uniform Binning
D.D. Ariananda; D. Romero; G. Leus;
IEEE Trans. Signal Proc.,
Volume 63, Issue 16, pp. 4149-4164, August 2015. DOI: 10.1109/TSP.2015.2430838
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Compression Limits for Random Vectors with Linearly Parameterized Second-Order Statistics
D. Romero; R. Lopez-Valcarce; G. Leus;
IEEE Trans. Informat. Th.,
Volume 61, Issue 3, pp. 1410-1425, March 2015. DOI: 10.1109/TIT.2015.2394784
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To AND and to OR: On Energy-Efficient Distributed Spectrum Sensing With Combined Censoring and Sleeping
S. Maleki; G. Leus; S. Chatzinotas; B. Ottersten;
IEEE Tr. Wireless Comm.,
Volume 14, Issue 8, pp. 4508-4521, August 2015. DOI: 10.1109/TWC.2015.2422304
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Indoor Granular Presence Sensing and Control Messaging With an Ultrasonic Circular Array Sensor
S. Naghibzadeh; A. Pandharipande; D. Caicedo; G. Leus;
IEEE Sensors Journal,
Volume 15, Issue 9, pp. 4888-4898, September 2015. DOI: 10.1109/JSEN.2015.2431373
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Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems
A. Alkhateeb; R.W. Heath; G. Leus;
IEEE Tr. Wireless Comm.,
Volume 14, Issue 11, pp. 6481--6494, 2015. DOI: 10.1109/TWC.2015.2455980
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Distributed Autoregressive Moving Average Graph Filters
A. Loukas; A. Simonetto; G. Leus;
IEEE Signal Proc. Letters,
Volume 22, Issue 11, pp. 1931-1935, November 2015. DOI: 10.1109/LSP.2015.2448655
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Distributed Sparsity-Aware Sensor Selection
H. Jamali-Rad; A. Simonetto; Xiaoli Ma; G. Leus;
IEEE Tr. Signal Proc.,
Volume 63, Issue 22, pp. 5951--5964, 2015. DOI: 10.1109/TSP.2015.2460224
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Localization Packet Scheduling for Underwater Acoustic Sensor Networks
H. Ramezani; G. Leus;
IEEE J. Sel. Areas Comm.,
Volume 33, Issue 7, pp. 1345-1356, July 2015.
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Collision Tolerant and Collision Free Packet Scheduling for Underwater Acoustic Localization
H. Ramezani; F. Fazel; M. Stojanovic; G. Leus;
IEEE Trans. Wireless Comm.,
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Universal Lower Bounds on Sampling Rates for Covariance Estimation
D. Cohen; Y.C. Eldar; G. Leus;
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Brisbane (Australia), IEEE, May 2015. DOI: 10.1109/ICASSP.2015.7178576
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Sparse Sensing for Distributed Gaussian Detection
S.P. Chepuri; G. Leus;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2015),
Brisbane (Australia), IEEE, pp. 2394-2398, May 2015. DOI: 10.1109/ICASSP.2015.7178400
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Correlation-aware sparsity-enforcing sensor placement for spatio-temporal field estimation
V. Roy; G. Leus;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2015),
Brisbane (Australia), IEEE, pp. 2389-2393, May 2015. DOI: 10.1109/ICASSP.2015.7178399
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Prediction-Correction Methods for Time-Varying Convex Optimization
A. Simonetto; A. Koppel; A. Mokhtari; G. Leus; A. Ribeiro;
In Proceedings of the Asilomar Conference on Signals, Systems, and Computers,
November 2015.
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Compressive Modeling of Stationary Autoregressive Processes
G. Kail; G. Leus;
In Proc. Information Theory and Applications Workshop (ITA), 2015,
San Diego, CA, USA, pp. 108--114, February 2015.
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Robust censoring for linear inverse problems
G. Kail; S.P. Chepuri; G. Leus;
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Achievable rates of multi-user millimeter wave systems with hybrid precoding
A. Alkhateeb; R.W. Heath; G. Leus;
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Reconstruction of graph signals: percolation from a single seeding node
S. Segarra; A.G. Marques; G. Leus; A. Ribeiro;
In IEEE Global Conf. on Signal Info. Process. (GlobalSIP),
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Interpolation of graph signals using shift-invariant graph filters
S. Segarra; A.G. Marques; G. Leus; A. Ribeiro;
In Proc. of European Signal Process. Conf.(EUSIPCO),
Nice (France), September 2015.
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Target Tracking with Dynamic Convex Optimization
A. Koppel; A. Simonetto; A. Mokhtari; G. Leus; A. Ribeiro;
In Proc. of the IEEE Global Conference on Signal and Information Processing (GlobalSIP 2015),
Orlando, Florida, December 2015.
Aggregation Sampling of Graph Signals in the Presence of Noise
S. Segarra; A.G. Marques; G. Leus; A. Ribeiro;
In Proc. of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015),
Cancun, Mexico, December 2015.
On Non-differentiable Time-varying Optimization
A. Simonetto; G. Leus;
In Proc. of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015),
Cancun, Mexico, December 2015.
A Decentralized Prediction-Correction Method for Networked Time-Varying Convex Optimization
A. Simonetto; A. Mokhtari; A. Koppel; G. Leus; A. Ribeiro;
In Proc. of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015),
Cancun, Mexico, December 2015.
Greedy Sensor Selection for Non-Linear Models
S. Rao; S.P. Chepuri; G. Leus;
In Proc. of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015),
Cancun, Mexico, December 2015.
DOA Estimation Using Sparse Vector Sensor Arrays
S. Rao; S.P. Chepuri; G. Leus;
In Proc. of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015),
Cancun, Mexico, December 2015.
Sparse Sensing for Estimation with Correlated Observations
S.P. Chepuri; G. Leus;
In Proc. of the Asilomar Conference on Signals, systems, and Computers (Asilomar 2015),
Pacific Grove, California, USA, November 2015.
Big Data Sketching with Model Mismatch
S.P. Chepuri; Yu Zhang; G. Leus; G.B. Giannakis;
In Proc. of the Asilomar Conference on Signals, systems, and Computers (Asilomar 2015),
Pacific Grove, California, USA, November 2015.
Sampling of Graph Signals: Successive Local Aggregations at a Single Node
S. Segarra; A.G. Marques; G. Leus; A. Ribeiro;
In Proc. of the Asilomar Conference on Signals, systems, and Computers (Asilomar 2015),
Pacific Grove, California, USA, November 2015.
Fast Sound Field Reproduction in Box-Shaped Rooms: Rigid Walls Case
J. Martinez.; G. Leus; W.B. Kleijn;
In Proc. of the European Signal Processing Conference (EUSIPCO 2015),
Nice, France, August 2015.
Compressed Sensing Based Multi-User Millimeter Wave Systems: How Many Measurements are Needed?
A. Alkhateeb; G. Leus; R.W. Heath;
In Proc. of the International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015),
Brisbane, Australia, April 2015.
Stochastic Signal Processing on Time-Varying Graphs
E. Isufi; A. Simonetto; A. Loukas; G. Leus;
In Proc. of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015),
Cancun, Mexico, December 2015.
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H. Jamali-Rad; A. Simonetto; G. Leus;
IEEE Signal Processing Letters,
Volume 21, Issue 2, pp. 217-220, February 2014.
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Channel estimation and hybrid precoding for millimeter wave cellular systems
A. Alkhateeb; O. El Ayach; G. Leus; R.W. Heath;
IEEE Journal of Selected Topics in Signal Processing,
Volume 8, Issue 5, pp. 831-846, October 2014. DOI: 10.1109/JSTSP.2014.2334278
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Distributed maximum likelihood sensor network localization
A. Simonetto; G. Leus;
IEEE Transactions on Signal Processing,
Volume 62, Issue 6, pp. 1424–1437, March 2014.
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Time-of-arrival estimation by UWB radios with low sampling rate and clock drift calibration
Yiyin Wang; G. Leus; H. Delic;
Elsevier Signal Processing,
Volume 94, Issue 1, pp. 465-475, January 2014.
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Rigid Body Localization Using Sensor Networks
S.P. Chepuri; G.J.T. Leus; A.J. van der Veen;
IEEE Trans. Signal Processing,
Volume 62, Issue 8, August 2014.
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Sparsity-Aware Multi-Source RSS Localization
H. Jamali-Rad; H. Ramezani; G. Leus;
Signal Processing,
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Tracking target signal strengths on a grid using sparsity
S. Farahmand; G.B. Giannakis; G.J.T. Leus; Zhi Tian;
EURASIP J. Advances Signal Proc.,
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Signal processing for the 5G revolution
R.W. Heath; G. Leus; T.Q.S. Quek; S. Talwar; Peiying Zhou;
IEEE Signal Processing Magazine,
Volume 31, Issue 6, pp. 12-13, November 2014.
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Sparsity-Promoting Adaptive Sensor Selection for Non-Linear Filtering
S.P. Chepuri; G. Leus;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2014),
Florence (Italy), IEEE, May 2014.
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Distributed Wideband Spectrum Sensing for Cognitive Radio Networks
R. Arroyo-Valles; S. Makeli; G. Leus;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2014),
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Non-uniform Sampling for Compressive Cyclic Spectrum Reconstruction
D.D. Ariananda; G. Leus;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2014),
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Compressed Sensing for Block-Sparse Smooth Signals
S. Gishkori; G. Leus;
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Florence (Italy), IEEE, May 2014.
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Distributed asynchronous time-varying constrained optimization
A. Simonetto; G. Leus;
In Asilomar Conf. Signals, systems, and Computers (Asilomar 2014),
Pacific Grove, California, USA, IEEE, November 2014.
Compression schemes for time-varying sparse signals
S.P. Chepuri; G. Leus;
In Asilomar Conf. Signals, systems, and Computers (Asilomar 2014),
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Scalable collision-tolerant localization in underwater acoustic sensor networks
H. Ramezani; G. Leus; M. Stojanovic;
In Asilomar Conf. Signals, systems, and Computers (Asilomar 2014),
Pacific Grove, California, USA, IEEE, November 2014.
Multi-layer precoding for full-dimensional MIMO systems
A. Alkhateeb; G. Leus; R.W. Heath;
In Asilomar Conf. Signals, systems, and Computers (Asilomar 2014),
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Indoor granular presence sensing with an ultrasonic circular array sensor
S. Naghibzadeh; A. Pandharipande; D. Caicedo; G. Leus;
In IEEE Multi-conference on Systems and Control (MSC 2014),
Antibes, France, IEEE, October 2014.
Sparsity-aware sensor selection for correlated noise
H. Jamali-Rad; A. Simonetto; G. Leus; Xiaoli Ma;
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To AND or to OR: How shall the fusion center rule in energy-constrained cognitive radio networks?
S. Maleki; G. Leus; S. Chatzinotas; B. Ottersten;
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Packet scheduling for underwater acoustic sensor network localization
H. Ramezani; H. Fazel; M. Stojanovic; G. Leus;
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Underwater acoustic communication using doppler-resilient orthogonal signal division multiplexing
T. Ebihara; G. Leus;
In Oceans 2014,
Taipei, Taiwan, April 2014.
Near-field source localization using sparse recovery techniques
Keke Hu; S.P. Chepuri; G. Leus;
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Sensor selection for estimation, filtering, and detection
S.P. Chepuri; G. Leus;
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Near-Field Source Localization: Sparse Recovery Techniques and Grid Matching
Keke Hu; S.P. Chepuri; G. Leus;
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A Moving Horizon Convex Relaxation for Mobile Sensor Network Localization
A. Simonetto; G. Leus;
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Cooperative Compressive Power Spectrum Estimation
D.D. Ariananda; D. Romero; G. Leus;
In Sensor Array and Multichannel Signal Processing Workshop (SAM),
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Convex Optimization for Joint Zero-forcing and Antenna Selection in Multiuser MISO Systems
S. Khademi; E. DeCorte; G. Leus; A.J. van der Veen;
In IEEE SPAWC 2014,
Toronto (Canada), IEEE, June 2014.
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Single-sided Adaptive Estimation of Multi-path Millimeter Wave Channels
A. Alkhateeb; O. El Ayach; G. Leus; R. Heath;
In IEEE SPAWC 2014,
Toronto (Canada), IEEE, June 2014.
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Underwater Ultra-Wideband Fingerprinting-Based Sparse Localization
S. Shakeri; G. Leus;
In IEEE SPAWC 2014,
Toronto (Canada), IEEE, June 2014.
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Network Coding for Flooding-Based Routing in Underwater Sensor Networks
E. Isufi; G. Leus; H. Dol;
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Rome, Italy, ACM, November 2014. ISBN 978-1-4503-3277-4. DOI: 10.1145/2671490.2674570
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Double Smoothing for Time-Varying Distributed Multi-user Optimization
A. Simonetto; G. Leus;
In Proc. IEEE Global Conference on Signal and Information Processing,
Atlanta (GA), IEEE, December 2014.
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Spatial Rainfall Mapping From Path-Averaged Rainfall Measurements Exploiting Sparsity
V. Roy; S. Gishkori; G. Leus;
In Proc. IEEE Global Conference on Signal and Information Processing,
Atlanta (GA), IEEE, December 2014.
Joint Clock Synchronization and Ranging: Asymmetrical Time-stamping and Passive Listening
S.P. Chepuri; R.T. Rajan; G. Leus; A.J. van der Veen;
IEEE Signal Processing Letters,
Volume 20, Issue 1, pp. 51-54, January 2013.
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Target Localization and Tracking for an Isogradient Sound Speed Profile
H. Ramezani; H. Jamali-Rad; G. Leus;
IEEE Tr. Signal Proc.,
Volume 61, Issue 5, pp. 1434-1446, March 2013.
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Sparsity-aware multi-source TDOA Localization
H. Jamali-Rad; G. Leus;
IEEE Tr. Signal Proc.,
Volume 61, Issue 19, pp. 4874-4887, October 2013.
document
Compressive Sampling Based Energy Detection of Ultra-Wideband Pulse Position Modulation
S. Gishkori; G. Leus;
IEEE Tr. Signal Processing,
Volume 61, Issue 15, pp. 3866-3879, 2013.
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Direction of arrival estimation for more correlated sources than active sensors
D.D. Ariananda; G. Leus;
Signal Processing,
Volume 93, Issue 12, pp. 3435-448, December 2013. ISSN: 0165-1684. DOI: 10.1016/j.sigpro.2013.04.011
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Multi-rate block transmission over wideband multi-scale multi-lag channels
T. Xu; Z. Tang; G. Leus; U. Mitra;
IEEE Tr. Signal Proc.,
Volume 61, Issue 4, pp. 964-979, February 2013.
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Censored truncated sequential spectrum sensing for cognitive radio networks
S. Maleki; G. Leus;
IEEE J. Sel. Areas Communic.,
Volume 31, Issue 3, pp. 364-378, March 2013.
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Optimization of hard fusion based spectrum sensing for energy-constrained cognitive radio networks
S. Maleki; S.P. Chepuri; G. Leus;
Physical Communication,
Volume 9, pp. 193-198, 2013.
document
Position and orientation estimation of a rigid body: rigid body localization
S.P. Chepuri; G. Leus; A.J. van der Veen;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2013),
Vancouver (Canada), IEEE, May 2013.
document
Zero-forcing pre-equalization with transmit antenna selection in MIMO systems
S. Khademi; S.P. Chepuri; G. Leus; A.J. van der Veen;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2013),
Vancouver (Canada), IEEE, May 2013.
document
Sparsity-aware TDOA localization of multiple sources
H. Jamali-Rad; Geert Leus;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2013),
Vancouver (Canada), IEEE, May 2013.
document
Sparsity-Exploiting Anchor Placement for Localization in Sensor Networks
S.P. Chepuri; G.J.T. Leus; A.J. van der Veen;
In Proc. 21st European Signal Processing Conference (EUSIPCO),
Marrakech (Marokko), September 2013.
document
Relative velocity estimation using Multidimensional Scaling
R.T. Rajan; G.J.T. Leus; A.J. van der Veen;
In Proc. 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2013),
St. Maarten (Dutch Antilles), December 2013.
document
Tracking Position and Orientation of a Mobile Rigid Body
S.P. Chepuri; A. Simonetto; G.J.T. Leus; A.J. van der Veen;
In Proc. 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2013),
St. Maarten (Dutch Antilles), December 2013.
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Blind Sparsity-Aware Multi-Source Localization
H. Jamali-Rad; H. Ramezani; G. Leus;
In Proc. European Signal Proc. Conf. (EUSIPCO),
pp. 1-5, September 2013.
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Compressive joint angular-frequency power spectrum estimation
D.D. Ariananda; G. Leus;
In Proc. the 21st European Signal Processing Conference (EUSIPCO 2013),
Marrakech (Morocco), Eurasip, September 2013.
document
Compressive angular and frequency periodogram reconstruction for multiband signals
D.D. Ariananda; D. Romero; G. Leus;
In Proc. 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2013),
Saint Martin (French West Indies), IEEE, pp. 440-443, December 2013.
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Waveform optimization for compressive sensing radar systems
L. Zegov; R. Pribic; G. Leus;
In Proc. of the International Workshop on Compressed Sensing applied to Radar (CoSeRa 2013),
Bonn, Germany, September 2013.
Optimal waveforms for compressive sensing radar
L. Zegov; R. Pribic; G. Leus;
In Proc. of the European Signal Processing Conference (EUSIPCO 2013),
Marrakech, Morocco, September 2013.
DMC-MAC: Dynamic multi-channel MAC in underwater acoustic networks
H. Ramezani; G. Leus;
In Proc. of the European Signal Processing Conference (EUSIPCO 2013),
Marrakech, Morocco, September 2013.
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Jointly filtering and regularizing seismic data using space-varying FIR filters
A. Kontakis; X.H. Campman; G. Leus; Z. Tang; M. Danilouchkine;
In Proc. of the International Conference on Sampling Theory and Applications (SampTA 2013),
Jacobs University, Bremen, Germany, July 2013.
document
A censoring strategy for decentralized estimation in energy-constrained adaptive diffusion networks
R. Arroyo-Valles; S. Maleki; G. Leus;
In Proc. of the IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2013),
Darmstadt, Germany, June 2013.
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L-MAC: Localization packet scheduling for an underwater acoustic sensor network
H. Ramezani; G. Leus;
In Proc. of the International Conference on Communications (ICC 2013),
Budapest, Hungary, June 2013.
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Jointly filtering and regularizing seismic data using space-varying FIR filters
A. Kontakis; X.H. Campman; Z. Tang; M. Danilouchkine; G. Leus;
In Proc. of the EAGE Conference and Exhibition 2013,
London, England, June 2013.
document
Online robust portfolio risk management using total least-squares and parallel splitting algorithms
K. Slavakis; G. Leus; G.B. Giannakis;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2013),
Vancouver, Canada, May 2013.
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Compressive wideband spectrum sensing with spectral prior information
D. Romero; R. López-Valcarce; G. Leus;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2013),
Vancouver, Canada, May 2013.
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Robust sparse embedding and reconstruction via dictionary learning
K. Slavakis; G.B. Giannakis; G. Leus;
In Proc. of the Conference on Information Sciences and Systems (CISS 2013),
Johns Hopkins University, Baltimore, Maryland, USA, March 2013.
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Hybrid precoding for millimeter wave cellular systems with partial channel knowledge
A. Alkhateeb; O. El Ayach; G. Leus; R.W. Heath Jr.;
In Proc. of the Information Theory and Applications Workshop (ITA 2013),
San Diego, California, USA, February 2013.
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Compressive covariance sampling
D. Romero; G. Leus;
In Proc. of the Information Theory and Applications Workshop (ITA 2013),
San Diego, California, USA, February 2013.
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Sparsity-Enforcing Sensor Selection for DOA Estimation
V. Roy; S.P. Chepuri; G. Leus;
In Proc. 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2013),
Saint Martin (French West Indies), IEEE, December 2013.
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Dynamic multi-channel packet scheduling in an underwater acoustic sensor network
H. Ramezani; G. Leus;
In Asilomar Conf. Signals, systems, and Computers (Asilomar 2014),
Pacific Grove, California, USA, IEEE, November 2013.
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Adaptive turbo equalization for underwater acoustic communication
L. Cannelli; G. Leus; H. Dol; P. van Walree;
In Oceans 2013,
Bergen, Norway, June 2013.
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Emitter Localization Given Time Delay and Frequency Shift Measurements
A. Amar; G. Leus; B. Friedlander;
IEEE Trans. Aerospace and Electronic Systems,
Volume 48, Issue 2, pp. 1826-1837, February 2012.
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Spectrum sensing for cognitive radio
E. Axell; G. Leus; E.G. Larsson; H.V. Poor;
IEEE Signal Processing Magazine,
Volume 29, Issue 3, pp. 101-116, May 2012.
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Optimization of Hard Fusion Based Spectrum Sensing for Energy-Constrained Cognitive Radio Networks
S. Maleki; S.P. Chepuri; G. Leus;
Physical Communication,
June 2012. ISSN 1874-4907. DOI: 10.1016/j.phycom.2012.07.003
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Special issue on Compressive Sensing in Communications
W.U. Bajwa; G. Leus; A. Scaglione; M. Stojanovic; Zhi Tian;
Physical Communication,
Volume 5, Issue 2, pp. 61-63, June 2012. ISSN 1874-4907. DOI: 10.1016/j.phycom.2011.11.003
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Compressive sampling based differential detection for UWB impulse radio signals
S. Gishkori; G. Leus; V. Lottici;
Physical Communication,
Volume 5, Issue 2, pp. 185-195, June 2012. ISSN 1874-4907. DOI: 10.1016/j.phycom.2011.09.005
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Ranging in an Underwater Medium with Multiple Isogradient Sound Speed Profile Layers
H. Ramezani; G. Leus;
Sensors,
Issue 12, pp. 2996-3017, 2012. ISSN 1424-822. DOI: 10.3390/s120302996
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Compressive Wideband Power Spectrum Estimation
D.D. Ariananda; G. Leus;
IEEE Trans. Signal Proc.,
Volume 60, Issue 9, pp. 4775-4789, September 2012.
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Dynamic Multidimensional Scaling for Low-Complexity Mobile Network Tracking
H. Jamali-Rad; G. Leus;
IEEE Trans. Signal Proc.,
Volume 60, Issue 8, pp. 4485-4491, August 2012.
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Identification of black-box wave propagation models using large-scale convex optimization
T. van Waterschoot; M. Diehl; M. Moonen; G. Leus;
Proc. 16th IFAC Symp. System Identification (SYSID'12),
July 2012.
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Reference-free time-based localization for an asynchronous target
Yiyin Wang; G. Leus;
EURASIP Journal on Advances in Signal Processing,
Volume 19, pp. 21, 2012.
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Generalized matched filter detector for fast fading channels
D. Romero; R. Lopez-Valcarce; G. Leus;
In Proc. IEEE ICASSP,
Kyoto (Japan), IEEE, pp. 3165-3168, May 2012.
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MAP based differential detectors for compressed UWB impulse radio signals
S. Gishkori; G. Leus; V. Lottici;
In Proc. IEEE ICASSP,
Kyoto (Japan), IEEE, pp. 3157-3160, May 2012.
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Time- or frequency-domain equalization for wideband OFDM channels?
Tao Xu; Zijian Tang; G. Leus; U. Mitra;
In Proc. IEEE ICASSP,
Kyoto (Japan), IEEE, pp. 3029-3032, May 2012.
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Clock skew calibration for UWB ranging
Yiyin Wang; Zijian Tang; G. Leus;
In Proc. IEEE ICASSP,
Kyoto (Japan), IEEE, pp. 3013-3016, May 2012.
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Distributed estimation of static fields in wireless sensor networks using the finite element method
T. van Waterschoot; G. Leus;
In Proc. IEEE ICASSP,
Kyoto (Japan), IEEE, pp. 2853-2856, May 2012.
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Cooperative localization in partially connected mobile wireless sensor networks using geometric link reconstruction
H. Jamali-Rad; H. Ramezani; G. Leus;
In Proc. IEEE ICASSP,
Kyoto (Japan), IEEE, pp. 2633-2636, May 2012.
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Direction of Arrival Estimation Using Sparse Ruler Array Design
S. Shakeri; D.D. Ariananda; G. Leus;
In Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2012),
Cesme, Turkey, IEEE, June 2012.
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Multiple hypothesis testing for compressive wideband sensing
S.P. Chepuri; G. Leus; R. de Francisco;
In Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2012),
Cesme, Turkey, IEEE, June 2012.
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Low-power Architecture for Wideband Spectrum Sensing
S.P. Chepuri; R. de Francisco; G. Leus;
In Proc. of 3rd International Workshop on Cognitive Information Processing (CIP 2012),
Baiona, Spain, May 2012.
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Joint Localization and Clock Synchronization for Wireless Sensor Networks
S.P. Chepuri; G. Leus; A.J. van der Veen;
In 46th Asilomar Conference on Signals, Systems and Computers,
November 2012.
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Cooperative Compressive Wideband Power Spectrum Sensing
D.D. Ariananda; G. Leus;
In 46th Asilomar Conference on Signals, Systems and Computers,
November 2012.
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Direction of Arrival Estimation of Correlated Signals Using a Dynamic Non-uniform Linear Array
D.D. Ariananda; G. Leus;
In 46th Asilomar Conference on Signals, Systems and Computers,
November 2012.
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Localization and Tracking of a Mobile Target for an Isogradient Sound Speed Profile
H. Ramezani; H. Jamali-Rad; G. Leus;
In Proc. IEEE ICC,
Ottawa (Canada), IEEE, pp. 2633-2636, June 2012.
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Accurate ranging in a stratified underwater medium with multiple iso-gradient sound speed profile layers
H. Ramezani; G. Leus;
In Proc. IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles (NGCUV 2012),
Porto (Portugal), IEEE, April 2012.
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Compressive sampling based multiple symbol differential detection for UWB IR signals
S. Gishkori; G. Leus; V. Lottici;
In 2012 IEEE Int. Conf. on Ultra-Wideband (ICUWB),
IEEE, pp. 130-134, 2012.
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Compressive Sampling for Non-Intrusive Appliance Load Monitoring (NALM) using Current Waveforms
Ying Wang; A. Filippi; R. Rietman; G. Leus;
In Signal Processing, Pattern Recognition and Applications/779: Computer Graphics and Imaging,
Crete, Greece, ACTA Press, June 2012.
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Sparse multi-target localization using cooperative access points
H. Jamali-Rad; H. Ramezani; G. Leus;
In 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM),
IEEE, pp. 353-356, 2012.
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Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling
Hao Zhu; G. Leus; G.B. Giannakis;
IEEE Tr. Signal Processing,
Volume 59, Issue 5, pp. 2002-2016, May 2011. DOI: 10.1109/TSP.2011.2109956
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Joint Dynamic Resource Allocation and Waveform Adaptation for Cognitive Networks
Zhi Tian; G. Leus; V. Lottici;
IEEE J. Sel. Areas Comm. (JSAC),
Volume 29, Issue 2, pp. 443-454, February 2011. DOI: 10.1109/JSAC.2011.110216
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Power spectrum blind sampling
G. Leus; D. Dony Ariananda;
IEEE Signal Processing Letters,
Volume 18, Issue 8, pp. 443-446, August 2011. DOI: 10.1109/LSP.2011.2158604
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Energy-Efficient Distributed Spectrum Sensing for Cognitive Sensor Networks
S. Maleki; A. Pandharipande; G. Leus;
IEEE Sensors Journal,
Volume 11, Issue 3, pp. 565-573, March 2011. DOI: 10.1109/JSEN.2010.2051327
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Aliasing-Free Wideband Beamforming Using Sparse Signal Representation
Z. Tang; G. Blacquiere; G. Leus;
IEEE Tr. Signal Processing,
Volume 59, Issue 7, pp. 3464-3469, 2011. ISSN 1053-587X. DOI: 10.1109/TSP.2011.2140108
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Signal Processing for Networking and Communications (In the Spotlight)
Shuguang Cui; R.W. Heath; G. Leus;
IEEE Signal Processing Magazine,
Volume 28, Issue 5, pp. 151-152, September 2011. ISSN: 1053-5888; 10.1109/MSP.2011.941986.
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Robust Time-Based Localization for Asynchronous Networks
Yiyin Wang; Xiaoli Ma; G. Leus;
IEEE Tr. Signal Processing,
Volume 59, Issue 9, pp. 4397-4410, September 2011. ISSN: 1053-587X. DOI: 10.1109/TSP.2011.2159215
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Round-Robin Scheduling for Orthogonal Beamforming with Limited Feedback
C. Simon; G. Leus;
IEEE Tr. Wireless Comm.,
Volume 10, Issue 8, pp. 2486-2496, August 2011. DOI: 10.1109/TWC.2011.062011.091736
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Occupancy based illumination control of LED lighting systems
D. Caicedo; A. Pandharipande; G. Leus;
Lighting Research and Technology,
Volume 43, Issue 2, pp. 217-234, June 2011. DOI: DOI: 10.1177/1477153510374703
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Emitter localization given time delay and frequency shift measurements
A. Amar; G. Leus; B. Friedlander;
IEEE Transactions on Aerospace and Electronic Systems,
Volume 47, Issue 4, pp. 1-24, 2011.
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Time-varying MIMO-OFDM channel estimation with aid of pilots
Zijian Tang; G. Leus;
EURASIP Journal on Advances in Signal Processing (to appear),
2011.
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Weighted and structured sparse total least-squares for perturbed compressive sampling
Hao Zhu; G. Giannakis; G. Leus;
In Proc. IEEE ICASSP,
Prague (Czech Republic), IEEE, pp. 3792-3795, May 2011.
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Cooperative mobile network localization via subspace tracking
H. Jamali-Rad; A. Amar; G. Leus;
In Proc. IEEE ICASSP,
Prague (Czech Republic), IEEE, pp. 2612-2615, May 2011.
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Time-based localization for asynchronous wireless sensor networks
Yiyin Wang; G. Leus; Xiaoli Ma;
In Proc. IEEE ICASSP,
Prague (Czech Republic), IEEE, pp. 3284-3287, May 2011.
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Orthogonal wavelet division multiplexing for wideband time-varying channels
Tao Xu; G. Leus; U. Mitra;
In Proc. IEEE ICASSP,
Prague (Czech Republic), IEEE, pp. 3556-3559, May 2011.
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Performance evaluation of an IEEE 802.15.4 cognitive radio link in the 2360-2400 MHz band
S.P. Chepuri; R. de Francisco; G. Leus;
In Proc. IEEE Wireless Communications and Networking Conference (WCNC),
Cancun, Mexico, IEEE, pp. 2155-2160, March 2011. DOI: 10.1109/WCNC.2011.5779466
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Optimal hard fusion strategies for cognitive radio networks
S. Maleki; S.P. Chepuri; G. Leus;
In Proc. IEEE Wireless Communications and Networking Conference (WCNC),
Cancun, Mexico, IEEE, pp. 1926-1931, March 2011. DOI: 10.1109/WCNC.2011.5779453
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Anchorless Cooperative Localization for Mobile Wireless Sensor Networks
H. Jamali-Rad; T. van Waterschoot; G. Leus;
In Proc. Joint WIC/IEEE SP Symposium on Information Theory and Signal Processing in the Benelux,
Brussels, Belgium, IEEE, May 2011.
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Compressive sampling for power spectrum estimation
D.D. Ariananda; G. Leus;
In Proc. Joint WIC/IEEE SP Symposium on Information Theory and Signal Processing in the Benelux,
Brussels, Belgium, IEEE, May 2011.
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Cooperative Localization Using Efficient Kalman Filtering For Mobile Wireless Sensor Networks
H. Jamali-Rad; T. van Waterschoot; G. Leus;
In Proc. European Signal Processing Conference (EUSIPCO11),
Barcelona, Spain, August 2011.
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Censored truncated sequential spectrum sensing for cognitive radio networks
S. Maleki; G. Leus;
In 2011 17th Int. Conf. on Digital Signal Proc. (DSP),
July 2011. DOI: 10.1109/ICDSP.2011.6004996
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Multi-coset sampling for power spectrum blind sensing
D. Dony Ariananda; G. Leus; Zhi Tian;
In 2011 17th Int. Conf. on Digital Signal Proc. (DSP),
July 2011. DOI: 10.1109/ICDSP.2011.6005003
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Sparsity-aware Kalman tracking of target signal strengths on a grid
S. Farahmand; G.B. Giannakis; G. Leus; Zhi Tian;
In 2011 Proc. 14th Int. Conf. on Information Fusion (FUSION),
July 2011. Print ISBN: 978-1-4577-0267-9.
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Tracking a mobile node by asynchronous networks
Yiyin Wang; G. Leus; Xiaoli Ma;
In 2011 IEEE 12th Int. Workshop on Signal Proc. Advances in Wireless Comm. (SPAWC),
San Francisco (CA), IEEE, pp. 161-165, June 2011. ISSN 1948-3244. DOI: 10.1109/SPAWC.2011.5990385
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Wideband power spectrum sensing using sub-Nyquist sampling
D. Dony Ariananda; G. Leus;
In 2011 IEEE 12th Int. Workshop on Signal Proc. Advances in Wireless Comm. (SPAWC),
San Francisco (CA), IEEE, pp. 101-105, June 2011. ISSN 1948-3244. DOI: 10.1109/SPAWC.2011.5990334
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Energy and throughput efficient strategies for cooperative spectrum sensing in cognitive radios
S. Maleki; S.P. Chepuri; G. Leus;
In 2011 IEEE 12th Int. Workshop on Signal Proc. Advances in Wireless Comm. (SPAWC),
San Francisco (CA), IEEE, pp. 71-75, June 2011. ISSN 1948-3244. DOI: 10.1109/SPAWC.2011.5990482
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Recovering Second-Order Statistics from Compressive Measurements
G. Leus; Zhi Tian;
In 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
Puerto Rico, IEEE, pp. 337-340, December 2011. ISBN 978-1-4577-2103-8.
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Static Field Estimation Using a Wireless Sensor Network Based on the Finite Element Method
T van Waterschoot; G. Leus;
In 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
Puerto Rico, IEEE, pp. 369-372, December 2011. ISBN 978-1-4577-2103-8.
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Robust Time-Based Localization for Asynchronous Networks with Clock Offsets
Yiyin Wang; Xiaoli Ma; G. Leus;
In Proc. Asilomar Conf. on Signals, Systems, and Computers,
Monterey, CA, November 2011.
Occupancy-based illumination control of LED lighting systems
D. Caicedo; A. Pandharipande; G. Leus;
Lighting Research and Technology (online),
Volume 0, pp. 1-18, August 2010. DOI: 10.1177/1477153510374703
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Extending the classical multidimensional scaling algorithm given partial pairwise distance measurements
A. Amar; Yiyin Wang; G. Leus;
IEEE Signal Processing Letters,
Volume 17, Issue 5, pp. 473-476, May 2010.
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Space-Time Block Coding for Doubly-Selective Channels
K. Fang; G. Leus;
IEEE Tr. Signal Processing,
Volume 58, Issue 3 part 2, pp. 1934-1940, March 2010.
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Energy-Efficient Distributed Spectrum Sensing for Cognitive Sensor Networks
S. Maleki; A. Pandharipande; G. Leus;
IEEE Sensors Journal,
2010. DOI: 10.1109/JSEN.2010.2051327
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Block Transmissions over Doubly-Selective Channels: Iterative Channel Estimation and Turbo Equalization
Kun Fang; G. Leus; L. Rugini;
EURASIP Journal on Advances in Signal Processing,
Volume 2010, pp. 13 pages, 2010. Article ID 974652. DOI: 10.1155/2010/974652
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Interference management in wireless communication systems: Theory and applications
Yan Xin; Xiaodong Wang; G. Leus; Guosen Yue; Jinhua Jiang;
EURASIP J. on Wireless Communications and Networking,
2010. Article ID 687649.
Overview of spectrum sensing for cognitive radio
E. Axell; G. Leus; E.G. Larsson;
In Proc. IAPR 2nd International Workshop on Cognitive Information Processing (CIP2010),
IEEE, 2010.
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Compressive sampling based MVDR spectrum sensing
Ying Wang; A. Pandharipande; G. Leus;
In Proc. IAPR 2nd International Workshop on Cognitive Information Processing (CIP2010),
IEEE, 2010.
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Two-stage spectrum sensing for cognitive radios
S. Maleki; A. Pandharipande; G. Leus;
In Proc. IEEE ICASSP,
Dallas (TX), IEEE, pp. 2946-2949, April 2010.
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Ranging energy optimization for robust sensor positioning with collaborative anchors
Tao Wang; G. Leus;
In Proc. IEEE ICASSP,
Dallas (TX), IEEE, pp. 2714-2717, April 2010.
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UWB Ranging Based on Partial Received Sub-Band Signals in Dense Multipath Environments
Z. Irahhauten; G. Leus; H. Nikookar; G.J.M. Janssen;
In Proc. IEEE ICC,
Cape Town, IEEE, pp. 1-6, May 2010. ISSN 1550-3607.
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Space-time compressive sampling array
Ying Wang; G. Leus;
In Proc. 2010 IEEE Sensor Array Multichannel Signal Processing Workshop,
Maale Hahamisha, Israel, IEEE, pp. 33-36, October 2010. ISBN 978-1-4244-9395-1.
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A reference-free time difference of arrival source localization using a passive sensor array
A. Amar; G. Leus;
In Proc. 2010 IEEE Sensor Array Multichannel Signal Processing Workshop,
Maale Hahamisha, Israel, IEEE, pp. 157-160, October 2010. ISBN 978-1-4244-9395-1.
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Sparse Regularized Total Least Squares for Sensing Applications
Hao Zhu; G. Leus; G.B. Giannakis;
In Proc. Signal Processing Advances in Wireless Communications (SPAWC),
Marrakech, IEEE, June 2010.
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Energy Detectors for Sparse Signals
S. Gishkori; G. Leus; H. Delic;
In Proc. Signal Processing Advances in Wireless Communications (SPAWC),
Marrakech, IEEE, June 2010.
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Compressed Sensing Techniques for Dynamic Resource Allocation in Wideband Cognitive Networks
Z. Tian; G. Leus; V. Lottici;
In Proc. Signal Processing Advances in Wireless Communications (SPAWC),
Marrakech, IEEE, June 2010.
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An UWB Ranging-based Localization Strategy with Internal Attack Immunity
Yiyin Wang; Xiaoli Ma; G. Leus;
In Proc. 2010 IEEE Int. Conf. on Ultra-Wideband (ICUWB),
Nanjing, China, IEEE, September 2010. DOI: 10.1109/ICUWB.2010.5615052, E-ISBN 978-1-4244-5306
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Energy Detection of (Ultra-)Wideband PPM
S. Gishkori; G. Leus; H. Delic;
In Proc. WIC Symposium on Information Theory in the Benelux (WIC SITB 2010),
Rotterdam, The Netherlands, May 2010.
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Estimating Indoor Walking Velocity Profile Using a Software Radio-based Radar
B. Godana; G. Leus; A. Barroso;
In Proc. Int. Conf. on Sensor Device Technologies and Applications (SENSORDEVICES 2010),
Venice/Mestre, Italy, July 2010.
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Quantifying Human Indoor Activity Using a Software Radio-based Radar
B. Godana; G. Leus; A. Barroso;
In Proc. Int. Conf. on Sensor Device Technologies and Applications (SENSORDEVICES 2010),
Venice/Mestre, Italy, July 2010.
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Compressive Sampling Based Differential Detection of Ultra Wideband Signals
S. Gishkori; G. Leus; V. Lottici;
In Proc. IEEE Int. Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2010),
Istanbul, Turkey, September 2010.
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Energy Detection of Wideband and Ultra-Wideband PPM
S. Gishkori; G. Leus; H. Delic;
In Proc. IEEE Global Communications Conference (GLOBECOM 2010),
Miami, Florida, USA, December 2010.
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Equalizers for Multi-Scale/Multi-Lag Wireless Channels
U. Mitra; G. Leus;
In Proc. IEEE Global Communications Conference (GLOBECOM 2010),
Miami, Florida, USA, December 2010.
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Block Transmission over Multi-Scale Multi-Lag Wireless Channels
Tao Xu; G. Leus; U. Mitra;
In Proc. of the Asilomar Conference on Signals, Systems, and Computers,
Pacific Grove, California, USA, November 2010.
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Emitter Position and Velocity Estimation Given Time and Frequency Differences of Arrival
A. Amar; G. Leus; B. Friedlander;
In Proc. of the Asilomar Conference on Signals, Systems, and Computers,
Pacific Grove, California, USA, November 2010.
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Noncoherent Ultra-Wideband Systems
K. Witrisal; G. Leus; G.J.M. Janssen; M. Pausini; F. Troesch; Th. Zasowski; J. Romme;
IEEE Signal Processing Magazine,
Volume 26, Issue 4, pp. 48-66, July 2009.
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Digital receiver design for transmitted-reference ultra-wideband systems
Yiyin Wang; G. Leus; A.J. van der Veen;
Eurasip J. Wireless Comm. Netw.,
Volume 2009, pp. 17, June 2009. ArticleID 315264, doi:10.1155/2009/315264.
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Performance Analysis of a Flexible Subsampling Receiver for Pulsed UWB Signals
Y. Vanderperren; W. Dehaene; G. Leus;
IEEE Tr. Wireless Communications,
Volume 8, Issue 8, pp. 4134-4142, August 2009.
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A Novel Approach to UWB Data Detection with Symbol-Level Synchronization
V. Lottici; Z. Tian; G. Leus;
Physical Communication,
Volume 2, Issue 4, pp. 296-305, 2009.
document
Ranging energy optimization for robust sensor positioning based on semidefinite programming
T. Wang; G. Leus; L. Huang;
IEEE Tr. Signal Processing,
Volume 57, Issue 4, pp. 4777-4787, December 2009.
document
Robust underwater telemetry with adaptive turbo multiband equalization
P.A. van Walree; G. Leus;
IEEE Tr. Oceanic Engineering,
Volume 34, Issue 4, pp. 645-655, October 2009.
document
Transmit Reference UWB Systems
A.J. van der Veen; G. Leus;
In Short Range Wireless Communication: Emerging Technologies and Applications,
Wiley, 2009. ISBN 0470699957, 9780470699959.
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Cramer-Rao bound for range estimation
Yiyin Wang; G. Leus; A.J. van der Veen;
In Proc. IEEE ICASSP,
Taipei (Taiwan), IEEE, April 2009.
document
Low-complexity frequency-domain turbo equalization for single-carrier transmissions over doubly-selective channels
K. Fang; L. Rugini; G. Leus;
In Proc. IEEE ICASSP,
Taipei (Taiwan), IEEE, April 2009.
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Low-delay scheduling for Grassmannian beamforming with a SINR constraint
C. Simon; G. Leus;
In Proc. IEEE ICASSP,
Taipei (Taiwan), IEEE, April 2009.
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Ranging energy optimization for robust sensor positioning
Tao Wang; G. Leus; D. Neirynck; Feng Shu; Li Huang;
In Proc. IEEE ICASSP,
Taipei (Taiwan), IEEE, April 2009.
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Compressive wide-band spectrum sensing
Y. Lamelas Polo; Y. Wang; A. Pandharipande; G. Leus;
In Proc. IEEE ICASSP,
Taipei (Taiwan), IEEE, April 2009.
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Detection of sparse signals under finite-alphabet constraints
Zhi Tian; G. Leus; V. Lottici;
In Proc. IEEE ICASSP,
Taipei (Taiwan), IEEE, April 2009.
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Distributed Compressive Wide-Band Spectrum Sensing
Ying Wang; Y. Lamelas Polo; A. Pandharipande; G. Leus;
In Proc. Inf. Theory Appl. (ITA'09),
San Diego (CA), IEEE, February 2009.
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Enhanced turbo MMSE equalization for MIMO-OFDM over rapidly time-varying frequency-selective channel
L. Rugini; P. Banelli; K. Fang; G. Leus;
In Proc. IEEE Workshop Signal Process. Advances Wireless Commun. (SPAWC),
Perugia (IT), IEEE, pp. 36-40, June 2009.
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Round-robin scheduling for time-varying channels with limited feedback
C. Simon; G. Leus;
In Proc. IEEE Workshop Signal Process. Advances Wireless Commun. (SPAWC),
Perugia (IT), IEEE, June 2009.
document
Space-Time Block Coding for Frequency-Selective and Time-Varying Channels
K. Fang; G. Leus;
In Proc. 43th Asilomar Conf. Signals, Systems, and Computers,
Pacific Grove (CA), IEEE, pp. 625-629, November 2009.
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Joint transmitter-receiver UWB rake design in the presence of ISI
N. Guney; H. Delic; G. Leus;
In Proc. IEEE 70th Vehicular Technology Conference (VTC2009-Fall),
Anchorage, Alaska, IEEE, September 2009. DOI: 10.1109/VETECF.2009.5378773
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Energy-efficient spectrum sensing for cognitive sensor networks
S. Maleki; A. Pandharipande; G. Leus;
In 35th Annual Conf. of the IEEE Industrial Electronics Society (IECON'09),
Porto (Portugal), IEEE, pp. 2642-2646, November 2009.
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Energy-efficient distributed spectrum sensing with convex optimization
S. Maleki; A. Pandharipande; G. Leus;
In Proc. 3rd Int. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
Aruba (Dutch Antilles), IEEE, pp. 396-399, December 2009. DOI: 10.1109/CAMSAP.2009.5413246
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Direction estimation using compressive sampling array processing
Ying Wang; G. Leus; A. Pandharipande;
In IEEE Workshop on Stat. Signal Proc.,
Cardiff (UK), IEEE, pp. 626-629, September 2009.
TOA estimation using UWB with low sampling rate and clock drift calibration
Yiyin Wang; G. Leus; H. Delic;
In IEEE Int. Conf. on Ultra-Wideband (ICUWB 2009),
IEEE, pp. 612-617, September 2009.
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Shifted Known Symbol Padding for Efficient Data Communication in a WLAN Context
O. Rousseaux; G. Leus; M. Moonen;
Wireless Personal Communications,
Volume 44, Issue 4, pp. 415-422, March 2008.
document
A Novel Receiver Architecture for Single-Carrier Transmission over Time-Varying Channels
Z. Tang; G. Leus;
IEEE Journal on Selected Areas in Communications,
Volume 26, Issue 2, pp. 366-377, February 2008.
document
Feedback quantization for linear precoded spatial multiplexing
C. Simon; G. Leus;
EURASIP J. Adv. Signal Proc.,
Volume 2008, pp. 1-13, 2008. DOI: 10.1155/2008/683030
document
Minimum Mean Squared Error Equalization for Second-Order Volterra Systems
C. Krall; K. Witrisal; G. Leus; H. Koeppl;
IEEE Tr. Signal Processing,
Volume 56, Issue 10, pp. 4729-4737, October 2008.
document
Low-Complexity Block Turbo Equalization for OFDM Systems in Time-Varying Channels
K. Fang; L. Rugini; G. Leus;
IEEE Tr. Signal Processing,
Volume 56, Issue 11, pp. 5555-5566, November 2008. ISSN: 1053-587X. DOI: 10.1109/TSP.2008.929129
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Multiband OFDM for covert acoustic communications
G. Leus; P.A. van Walree;
IEEE J. Sel. Areas Comm.,
Volume 26, Issue 9, December 2008.
Ultra-wideband communication
A. Antonnen; R. W. Brodersen; I. Bucaille; C. da Silva; M.-G. di Benedetto; G. Fischer; S. Gezici; T. Kaiser; G. Leus; A. Maemmelae; M. Milstein; A. Molisch; L. Mucchi; I. O'Donnell; H. V. Poor; J. Sachs; W.;
In Technologies for the Wireless Future: Wireless World Research Forum (WWRF), volume 3,
Wiley, November 2008. ISBN-13: 978-0470993873.
Joint dynamic resource allocation and waveform adaptation in cognitive radio networks
Z. Tian; G. Leus; V. Lottici;
In Proc. IEEE ICASSP,
Las Vegas, IEEE, pp. 5368-5371, April 2008. ISBN: 1-4244-1484-9.
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Iterative channel estimation and turbo equalization for time-varying OFDM systems
K. Fang; L. Rugini; G. Leus;
In Proc. IEEE ICASSP,
Las Vegas, IEEE, pp. 2909-2912, April 2008. ISBN: 1-4244-1484-9.
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Beamforming for correlated broadcast channels with quantized channel state information
R. de Francisco; C. Simon; D. T. Slock; G. Leus;
In Proc. of the IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2008),
Recife, Brazil, pp. 161-156, July 2008.
document
On Digital Receiver Design for Transmitted Reference Ultra Wideband
Yiyin Wang; G. Leus; A.J. van der Veen;
In IEEE Int. Conf. UWB (ICUWB 2008),
Hannover, Germany, pp. 35-38, September 2008.
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A Synchronization-Free Approach to Data Recovery for Multiple Access UWB Communications
V. Lottici; G. Tian; G. Leus;
In IEEE Int. Conf. UWB (ICUWB 2008),
Hannover, Germany, pp. 153-156, September 2008.
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A Reconfigurable Pulsed UWB Receiver Sampling Below Nyquist Rate
Y. Vanderperren; G. Leus; W. Dehaene;
In IEEE Int. Conf. UWB (ICUWB 2008),
Hannover, Germany, pp. 145-148, September 2008.
Channel Characterization Using Radar for Transmission of Communication Signals
R.A.M. Fens; M. Ruggiano; G. Leus;
In Proc. of the First European Wireless Technology Conference (EuWiT 2008),
Amsterdam (NL), Horizon House Publications Ltd (London), October 2008.
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Covert Underwater Communications with Multiband OFDM
G. Leus; P. van Walree; J. Boschma; C. Fanciullacci; H. Gerritsen; P. Tusoni;
In Proc. of Oceans 2008,
Quebec City (Canada), September 2008.
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Multicarrier Spread Spectrum for Covert Acoustic Communications
P. van Walree; E. Sangfelt; G. Leus;
In Proc. of Oceans 2008,
Quebec City (Canada), pp. 1-8, September 2008.
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Pilot-Assisted Time-Varying Channel Estimation for OFDM Systems
Z. Tang; R.C. Cannizzaro; G. Leus; P. Banelli;
IEEE Tr. Signal Proc.,
Volume 55, Issue 5 pt.2, pp. 2226-2238, May 2007. DOI: 10.1109/TSP.2007.893198, ISSN 1053-587X
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Time-Multiplexed Training for Time-Selective Channels
Z. Tang; G. Leus;
IEEE Signal Processing Letters,
Volume 14, Issue 9, pp. 585-588, September 2007. ISSN 1070-9908.
document
Interpolation-Based Multi-Mode Precoding for MIMO-OFDM Systems with Limited Feedback
N. Khaled; B. Mondal; G. Leus; R.W. Heath; and F. Petre;
IEEE Transactions on Wireless Communications,
Volume 6, Issue 3, pp. 1003-1013, March 2007.
document
Low-complexity equalization of time-varying channels in a single-carrier system
Z. Tang; G. Leus;
In Proc. 3rd Annual IEEE Benelux/DSP Valley Signal Processing Symposium,
Antwerp (BE), IEEE, pp. 1-6, March 2007.
document
Mapping UWB signal processing onto silicon
S. Bagga; G. Leus; W.A. Serdijn;
In Proc. 3rd Annual IEEE Benelux/DSP Valley Signal Processing Symposium,
Antwerp (BE), IEEE, pp. 63-69, March 2007.
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Low-complexity block turbo equalization for OFDM systems in time- and frequency-selective channels
K. Fang; G. Leus;
In Proc. 3rd Annual IEEE Benelux/DSP Valley Signal Processing Symposium,
Antwerp (BE), IEEE, pp. 83-87, March 2007.
document
Feedback reduction for spatial multiplexing with linear precoding
C. Simon; G. Leus;
In Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Proc. (ICASSP'07),
Honolulu (HI), IEEE, pp. III.33-36, April 2007. ISBN 1-4244-0728-1. DOI: 10.1109/ICASSP.2007.366465
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Receiver design for single-carrier transmission over time-varying channels
Z. Tang; G. Leus;
In Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Proc. (ICASSP'07),
Honolulu (HI), IEEE, pp. III.129-132, April 2007. ISBN 1-4244-0728-1. DOI: 10.1109/ICASSP.2007.366465
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Low-complexity block turbo equalization for OFDM systems in time-varying channels
K. Fang; G. Leus;
In Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Proc. (ICASSP'07),
Honolulu (HI), IEEE, pp. III.445-448, April 2007. ISBN 1-4244-0728-1. DOI: 10.1109/ICASSP.2007.366465
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Adaptive Feedback Reduction for Precoded Spatial Multiplexing MIMO Systems
C. Simon; G. Leus;
In Proc. of the ITG/IEEE Workshop on Smart Antennas (WSA 2007),
Vienna (Austria), February 2007.
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Quantized Feedback and Feedback Reduction for Precoded Spatial Multiplexing MIMO Systems
G. Leus; C. Simon;
In Proc. of the International Symposium on Signal Processing and its Applications (ISSPA 2007),
Sharjah, United Arab Emirates (U.A.E.), February 2007.
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Frequency agile waveform adaptation for cognitive radios
Z. Tian; G. Leus; V. Lottici;
In Proc. IEEE Int. Waveform Diversity and Design Conf. (WDDC'07),
Pisa (IT), IEEE, pp. 326-329, June 2007. DOI: 10.1109/WDDC.2007.4339436
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Synchronization-Free Data Detection for UWB Communications
V. Lottici; Z. Tian; G. Leus;
In Proc. IEEE 14th annual Symp. on Comm. Vehicular Techn. in the Benelux (SCVT'07),
Delft, The Netherlands, November 2007. ISBN 1-4244-1370-2.
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Feedback Compression for Correlated Broadcast Channels
C. Simon; R. de Francisco; D.T.M. Slock; G. Leus;
In Proc. of the IEEE-Benelux Symposium on Communications and Vehicular Technology (SCVT'07),
Delft, The Netherlands, November 2007. ISBN 1-4244-1370-2.
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Synchronization for Subsampling Digital UWB Receiver: a Holistic Approach
Y. Vanderperren; G. Leus; W. Dehaene;
In Proc. of the International Conference on Ultra Wideband (ICUWB 2007),
Singapore, pp. 828-833, September 2007. ISBN 1-4244-0521-1.
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Basis expansion adaptive filters for time-varying system identification
L. Rugini; G. Leus;
In Proc. 2nd IEEE Int. Workshop on Comp. Advances in Multi-Sensor Adaptive Processing (CAMSAP 2007),
St. Thomas (US Virgin Islands), pp. 153-156, December 2007. ISBN 978-1-4244-1714-8.
Pilot Schemes for Time-Varying Channel Estimation in OFDM Systems
Z. Tang; G. Leus;
In Proc. IEEE 8th Workshop on Signal Proc. Advances in Wireless Comm. (SPAWC'07),
Helsinki (FI), IEEE, June 2007. ISBN 1-4244-0955-1.
Signal model and receiver algorithms for a transmit-reference ultra-wideband communication system
Q.H. Dang; A. Trindade; A.J. van der Veen; G. Leus;
IEEE J. Selected Areas in Communications,
Volume 24, Issue 4 pt. 1, pp. 773-779, April 2006.
document
Equalization for OFDM over doubly selective channels
I. Barhumi; G. Leus; M. Moonen;
IEEE Tr. Signal Proc.,
Volume 54, Issue 4, pp. 1445-1458, April 2006.
document
Estimation and equalization of doubly selective channels using known symbol padding
O. Rousseaux; G. Leus; M. Moonen;
IEEE Tr. Signal Proc.,
Volume 54, Issue 3, pp. 979-990, March 2006.
document
Linear and decision-feedback per tone equalization for DMT-based transmission over IIR channels
K. Vanbleu; M. Moonen; G. Leus;
IEEE Tr. Signal Proc.,
Volume 54, Issue 1, pp. 258-273, January 2006.
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Low-Complexity Equalization of Time-Varying Channels With Precoding
Z. Tang; G. Leus;
IEEE Tr. Signal Proc.,
Volume 54, Issue 9, pp. 3642-3648, September 2006.
document
Low-Complexity Banded Equalizers for OFDM Systems in Doppler Spread Channels
L. Rugini; P. Banelli; G. Leus;
EURASIP Journal on Applied Signal Processing,
Volume 2006, pp. Article ID 6740, 2006.
document
Estimation and Direct Equalization of Doubly Selective Channels
I. Barhumi; G. Leus; M. Moonen;
EURASIP Journal on Applied Signal Processing,
Volume 2006, pp. Article ID 6283, 2006.
document
Editorial: Reliable Communications over Rapidly Time-Varying Channels
G. Leus; G.B. Giannakis; J.P. Linnartz; X. Ma; A. Swami; C. Tepedelenlioglu;
EURASIP Journal on Applied Signal Processing,
Volume 2006, pp. Article ID 3967, 2006.
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Distributed Space-Time Cooperative Systems with Regenerative Relays
P.A. Anghel; G. Leus; M. Kaveh;
IEEE Tr. Wireless Comm.,
Volume 5, Issue 11, pp. 3130-3141, November 2006.
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Blind synchronization in asynchronous ultra wideband (UWB) networks based on the transmit-reference scheme
R. Djapic; G. Leus; A.J. van der Veen; A. Trindade;
EURASIP J. Wireless Comm. Netw.,
December 2006. DOI: 10.1155/WCN/2006/37952
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Channel Estimation
G. Leus; A.J. van der Veen;
In Smart Antennas---State of the art,
EURASIP book series, Hindawi, 2006. ISBN: 977-5945-09-7.
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Channel Estimation and Windowed DFE for OFDM with Doppler Spread
L. Rugini; P. Banelli; R.C. Cannizzaro; G. Leus;
In Proc. IEEE ICASSP,
Toulouse (FR), IEEE, May 2006.
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Pilot-Assisted Time-Varying OFDM Channel Estimation
Z. Tang; G. Leus; P. Banelli;
In Proc. IEEE ICASSP,
Toulouse (FR), IEEE, May 2006.
document
A Flexible Low Power Subsampling UWB Receiver Based on Line Spectrum Estimation Methods
L. Vanderperren; W. Dehaene; G. Leus;
In Proc. Int. Conf. Comm. (ICC),
Istanbul (TR), IEEE, June 2006.
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Pilot-Assisted Time-Varying OFDM Channel Estimation Based on Multiple OFDM Symbols
Z. Tang; G. Leus; P. Banelli;
In Proc. IEEE SPAWC,
Cannes (FR), IEEE, July 2006.
document
Adaptive channel estimation for OFDM systems with Doppler spread
R.C. Cannizzaro; P. Banelli; G. Leus;
In Proc. IEEE SPAWC,
Cannes (FR), IEEE, July 2006.
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A Full-Diversity Distributed Space-Time Coding System with Regenerative Relays
P. Anghel; G. Leus; M. Kaveh;
In Proc. IEEE SPAWC,
Cannes (FR), IEEE, July 2006.
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Spatial Multiplexing with Linear Precoding in Time-Varying Channels with Limited Feedback
G. Leus; C. Simon; N. Khaled;
In Proc. Eusipco,
Florence (IT), September 2006.
document
Wireless Networks in the Process Industry: Opportunities for Ultra Wideband Applications
E. van der Kar; Z. Lukszo; G. Leus;
In Proc. IEEE Int. Conf. on Networking, Sensing and Control (ICNSC'06),
pp. 607-612, April 2006.
document
Study into the potential of UWB Applications in the Process Industry
E. van der Kar; Z. Lukszo; G. Leus;
In Proc. of the European Conference on Information Systems (ECIS 2006),
Goteborg, Sweden, June 2006.
document
Alamouti space-time coded OFDM systems in time- and frequency selective channels
K. Fang; G. Leus; L. Rugini;
In Proc. IEEE Global Telecommunications Conference (Globecom),
San Francisco (CA), pp. 1-5, December 2006.
document
An Approach for Specifying the ADC and AGC Requirements for UWB Digital Receivers
Y. Vanderperren; G. Leus; W. Dehaene;
In IEE Seminar on Ultra Wideband Systems, Technologies and Applications,
London (UK), The IET, April 2006.
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Orthogonal Multicode Channelization Applied to Subsampling Digital UWB Receiver
Y. Vanderperren; G. Leus; W. Dehaene;
In Proc. of the International Conference on Ultra Wideband (ICUWB 2006),
Waltham (MA), IEEE, September 2006.
document
Initial code exchange for asynchronous TR-UWB ad hoc networks
R. Djapic; N. Shi; G. Leus;
In Chinacom Int. Conf. on Communications and Networking,
pp. 1-6, October 2006.
Simple equalization of time-varying channels for OFDM
L. Rugini; P. Banelli; G. Leus;
IEEE Communication Letters,
Volume 9, Issue 7, pp. 619-621, July 2005.
document
Space-Time-Doppler Coding for Correlated Time-Selective Fading Channels
X. Ma; G. Leus; G.B. Giannakis;
IEEE Transactions on Signal Processing,
Volume 53, Issue 6, pp. 2167-2181, June 2005.
document
Time-varying FIR equalization for doubly selective channels
I. Barhumi; G. Leus; M. Moonen;
IEEE Transactions on Wireless Communications,
Volume 4, Issue 1, pp. 202-214, January 2005.
document
Equivalent System Model and Equalization of Differential Impulse Radio UWB System
K. Witrisal; G. Leus; M. Pausini; C. Krall;
IEEE J. Selected Areas in Communication,
Volume 23, Issue 9, pp. 1851-1862, September 2005.
document
Editorial: Improved CDMA Detection Techniques for Future Wireless Systems
G. Leus; P. Loubaton; D. Slock; M.D. Zoltowski;
EURASIP Journal on Applied Signal Processing,
Volume 2005, Issue 5, pp. 601-603, May 2005.
Gaussian maximum-likelihood channel estimation with short training sequences
O. Rousseaux; G. Leus; P. Stoica; M. Moonen;
IEEE Tr. Wireless Comm.,
Volume 4, Issue 6, pp. 2945-2955, November 2005.
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Equalization Techniques for Fading Channels
G. Leus; M. Moonen;
New York: CRC Press, , pp. 16.1--16.30, 2005.
Block DFE and Windowing for Doppler-Affected OFDM Systems
L. Rugini; P. Banelli; G. Leus;
In Proc. of the IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2005),
New York City, NY, pp. 470-474, June 2005.
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Reduced-complexity equalization for MC-CDMA systems over time-varying channels
L. Rugini; P. Banelli; G. Leus;
In Proc. IEEE ICASSP,
Philadelphia (PA), IEEE, pp. III-473-476, March 2005.
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Semi-blind channel estimation for rapidly time-varying channels
G. Leus;
In Proc. IEEE ICASSP,
Philadelphia (PA), IEEE, pp. III-773-776, March 2005.
document
On the impact of multi-antenna RF transceivers' amplitude and phase mismatches no transmit MRC
N. Khaled; S. Jagannathan; A. Bahai; F. Petre; G. Leus; H. De Man;
In Proc. IEEE ICASSP,
Philadelphia (PA), IEEE, pp. IV-893-896, March 2005.
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A Weighted Autocorrelation Receiver for Transmitted Reference UWB
G. Leus; A.J. van der Veen;
In Proc. of the IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2005),
New York City, NY, June 2005.
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MMSE Estimation of Basis Expansion Models for Rapidly Time-Varying Channels
I. Barhumi; G. Leus; M. Moonen;
In Proc. of the European Signal Processing Conference (EUSIPCO 2005),
Antalya, Turkey, September 2005.
RLS direct equalizer estimation with assistance of pilots for time-varying channels
Tang, Z.; Leus, G.;
In Proc. of the European Signal Processing Conference (EUSIPCO 2005),
Antalya, Turkey, September 2005.
Blind Synchronization in Mulituser Transmit-Reference UWB Systems
R. Djapic; G. Leus; A. Trindade; A.J. van der Veen;
In Proc. of the European Signal Processing Conference (EUSIPCO 2005),
Antalya, Turkey, September 2005.
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Interpolation-Based Multi-Mode Precoding for MIMO-OFDM Systems
N. Khaled; R.W. Heath; G. Leus; B. Mondal; and F. Petre;
In Proc. of the European Signal Processing Conference (EUSIPCO 2005),
Antalya, Turkey, September 2005.
Optimal Training for ML and LMMSE Channel Estimation in MIMO Systems
G. Leus; A.J. van der Veen;
In Proc. of IEEE Workshop on Statistical Signal Processing (SSP 2005),
Bordeaux, France, July 2005.
document
A Receiver Architecture for Maximum Diversity Transmissions over Doubly-Selective Channels
Z. Tang; G. Leus;
In Proc. of the IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2005),
New York City, NY, pp. 189-193, June 2005.
document
Nonlinear Equalization for a Frame-Differential IR-UWB Receiver
C. Krall; K. Witrisal; H Koeppl; G. Leus; M. Pausini;
In Proc. of the IEEE International Conference on Ultra-Wideband (ICU 2005),
Zurich (CH), September 2005.
document
Prediction of the Eigenvectors for Spatial Multiplexing MIMO Systems in Time-Varying Channels
H.T. Nguyen; G. Leus; N. Khaled;
In Proc. of the IEEE Symposium on Signal Processing and Information Technology (ISSPIT 2005),
Athens, Greece, pp. 119-124, December 2005.
document
Quantized multi-mode precoding for spatial multiplexing MIMO-OFDM system
N. Khaled; B. Mondal; R.W. Heath; G. Leus; F. Petre;
In Proc. 62nd IEEE Veh. Techn. Conf. (VTC-2005-fall),
Dallas, TX, pp. 867-871, September 2005.
document
Synchronization and Detection for Transmitted Reference UWB Systems
R. Djapic; G. Leus; A.J. van der Veen;
In Proc. of the Asilomar Conference on Signals, Systems, and Computers,
Pacific Grove, CA, pp. 1084-1088, November 2005.
document
Precoder and Decoder Prediction in Time-Varying MIMO Channels
H.T. Nguyen; G. Leus; N. Khaled;
In Proc. of the IEEE Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2005),
pp. 153-156, December 2005.
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A Full-Diversity Distributed Space-Time Coding System with Regenerative Relays
Anghel, P. A.; Leus, G.; Kaveh, M.;
In Proc. of the IEEE Workshop on Adaptive Wireless Networks (AWiN 2005),
November 2005.
Chip-interleaved block-spread CDMA versus DS-CDMA for cellular downlink: a comparative study
S. Zhou; P. Xia; G. Leus; G.B. Giannakis;
IEEE Tr. Wireless Comm.,
Volume 3, Issue 1, pp. 176-190, January 2004.
document
Space-time frequency-shift keying
G. Leus; W. Zhao; G.B. Giannakis; H. Delic;
IEEE Trans. Communications,
Volume 52, Issue 3, pp. 346-349, March 2004.
document
Constant Modulus and Reduced PAPR Block Differential Encoding for Frequency-Selective Channels
Y. Larsen; G. Leus; G.B. Giannakis;
IEEE Trans. Communications,
Volume 52, Issue 4, pp. 622-631, April 2004.
document
An interference-suppressing RAKE receiver for the CDMA downlink
S. Mudulodu; G. Leus; A. Paulraj;
IEEE Signal Proc. Letters,
Volume 11, Issue 5, pp. 521-524, May 2004.
document
Space-Time Chip Equalization for Maximum Diversity Space-Time Block Coded DS-CDMA Downlink Transmission
G. Leus; F. Petre; M. Moonen;
EURASIP Journal on Applied Signal Processing,
Issue 5, pp. 740-750, May 2004.
document
Orthogonal design of unitary constellations for uncoded and trellis-coded noncoherent space-time systems
W. Zhao; G. Leus; G.B. Giannakis;
IEEE Tr. Informat. Th.,
Volume 50, Issue 6, pp. 1319-1327, June 2004.
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Multi-carrier block-spread CDMA for broadband cellular downlink
F. Petre; G. Leus; M. Moonen; H. De Man;
Eurasip J. Applied Signal Proc.,
Volume 2004, Issue 10, pp. 1568-1584, August 2004.
Improved initialization for time domain equalization in ADSL
K. Van Acker; G. Leus; M. Moonen; T. Pollet;
Signal Processing,
Volume 84, Issue 10, pp. 1898-1908, October 2004.
Time-domain and Frequency-domain per-tone equalization for OFDM in doubly-selective channels
I. Barhumi; G. Leus; M. Moonen;
Signal Processing,
Volume 84, Issue 11, pp. 2055-2066, November 2004.
A robust joint linear precoder and decoder MMSE design for slowly time-varying MIMO channels
N. Khaled; G. Leus; C. Desset; H. De Man;
In Proc. IEEE ICASSP,
Montreal, Canada, pp. IV.485-488, May 2004.
document
Time-domain channel shortening and equalization of OFDM over doubly-selective channels
I. Barhumi; G. Leus; M. Moonen;
In Proc. IEEE ICASSP,
Montreal, Canada, pp. II.801-804, May 2004.
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An iterative method for improved training-based estimation of doubly selective channels
O. Rousseaux; G. Leus;
In Proc. IEEE ICASSP,
Montreal, Canada, pp. IV.889-892, May 2004.
document
Noise suppression in UWB transmitted reference systems
G. Leus; A.J. van der Veen;
In IEEE workshop on Signal Processing Advances in Wireless Communications (SPAWC),
Lisbon (Portugal), pp. 273-277, July 2004.
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Spatial-mode selection based on channel mean feedback for a robust joint linear precoder and decoder MMSE design
N. Khaled; G. Leus; C. Desset; H. De Man;
In IEEE workshop on Signal Processing Advances in Wireless Communications (SPAWC),
Lisbon (Portugal), pp. 289-294, July 2004.
document
Direct semi-blind design of serial linear equalizers for doubly-selective channels
G. Leus; I. Barhumi; O. Rousseaux; M. Moonen;
In Proc. ICC,
Paris, France, June 2004.
document
Per-tone equalization for OFDM over doubly-selective channels
I. Barhumi; G. Leus; M. Moonen;
In Proc. ICC,
Paris, France, June 2004.
document
On the estimation of rapidly time-varying channels
G. Leus;
In EUSIPCO,
Vienna (Austria), September 2004.
document
The Cramer-Rao bounds for blind and training based packet offset estimation in wireless ad hoc networks
R. Djapic; G. Leus; A.J. van der Veen;
In 11-th Symposium on Communications and Vehicular Technology (SCVT 2004) in the Benelux,
Gent, Belgium, November 2004.
Adaptive bitrate maximization TEQ design for DMT-based systems
K. Vanbleu; G. Ysebaert; G. Cuypers; G. Leus;
In Proc. IEEE ICASSP,
Montreal, Canada, pp. IV.1057-1060, May 2004.
document
Blind synchronization in asynchronous multiuser UWB networks based on the transmit-reference scheme
R. Djapic; G. Leus; A.J. van der Veen;
In Asilomar Conf. on Signals, Systems, and Computers,
IEEE, pp. 1506-1510, November 2004.
document

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Last updated: 28 Feb 2022