dr.ir. R. Heusdens
Signal Processing Systems (SPS), Department of Microelectronics
Expertise: Audio and acoustic signal processing, distributed signal processing, information theory (source coding), speech enhancement
Themes: Audio and acoustic signal processing, Distributed autonomous sensing systemsBiography
Richard Heusdens was an Associate Professor at the Circuits and Systems group of the Delft University of Technology until 2019. He is currently with the Dutch Defense Academy (Den Helder) but still visiting TU Delft, where he is guiding several PhD students.
He received his HTS (institute of technology) diploma from the HTS Alkmaar in 1988. He received the M.Sc. and Ph.D. degrees from Delft University of Technology, Delft, The Netherlands, in 1992 and 1997, respectively. In the spring of 1992, he joined the digital signal processing group at the Philips Research Laboratories, Eindhoven, The Netherlands. In 1997, he joined the Circuits and Systems Group of Delft University of Technology, where he was a Postdoctoral Researcher. In 2000, he moved to the Information and Communication Theory (ICT) Group, where he became an associate professor and responsible for the audio and speech processing activities within the ICT group. Since 2014, he is an Associate Professor at the Circuits and Systems group and, in addition, since 2015 a part-time Professor at Aalborg University where he holds a chair in distributed signal processing. His research interest cover subjects such as audio and acoustic signal processing, distributed signal processing, information theory, and speech enhancement.
Research projects he is involved in are "Speech Enhancement by Spatial Diversity Through Android Phones" (Google sponsored project), Distributed Processing of Audio Signals" (Huawei sponsored project), "Spatially Correct Multi-Microphone Noise Reduction Strategies suitable for Hearing Aids" (Oticon A/S sponsored project), "Smart Sensing for Aviation" (TKI project)
EE4540 Distributed signal processing
Signal processing techniques for decentralized signal processing
Education history
EE4182 Digital audio and speech processing
(not running) Audio, speech and acoustic signal processing, speech enhancement, microphone-array signal processing
Communication technology unlocking the ocean – UCOMMS at the edge
Development of underwater communication techniques to improve the communication efficiency.
Personalized Auditory Scene Modification to Assist Hearing Impaired People
Algorithms to personalize the presented auditory scene for improved speech intelligibility and sound localization hearing impaired users
Closed loop adaptive radar resource allocation
Design of a radar system to operate in a congested and contested environment
Projects history
Signal processing over wireless acoustic sensor networks
Microphone subset selection for WASNs
Smart sensing for Aviation
Detecting damages in composite material manufacturing
Distributed Processing of Audio Signals
Industry-sponsored project that aims to develop new distributed processing approaches and new computational methods for determining the acoustic room response.
Spatially Correct Multi-Microphone Noise Reduction Strategies suitable for Hearing Aids
multichannel signal processing algorithms to help hearing aid users
PulsarPlane: Worldwide Air Transport Operations
We investigate if pulsar navigation for aviation is positive, and analyse the impact on aviation.
Extreme Wireless Distributed Systems
EWiDS is one of the projects of the COMMIT program, concentrating on extreme wireless distributed systems. In EWiDS, we aim at a better understanding of using wireless, user-centric sensor technology to monitor and manage the behavior of people.
Intelligibility Enhancement of Noisy Speech
The objective of the project is to develop a speech enhancement system which specifically aims at improving the intelligibility of the speech signal.
General signal processing
Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysisThis software package is meant to estimate jointly all parameters in the multi-microphone setup using confirmatory factor analysis.Software, Dec 2019 |
rate-distributed relative acoustic transfer function estimationSoftware, Oct 2019 |
Calculation of the Mean Strain of Smooth Non-uniform Strain Fields Using Conventional FBG SensorsMatlab code for Calculation of the Mean Strain of Smooth Non-uniform Strain Fields Using Conventional FBG SensorsSoftware, May 2018 |
Generalized discrete Fourier transform (gDFT)A generalized Fourier transform is introduced that enables linear convolutions without the need of zero-padding. This results in faster, more resource- efficient computationsSoftware, Jan 2011 |
Multi-Microphone
Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysisThis software package is meant to estimate jointly all parameters in the multi-microphone setup using confirmatory factor analysis.Software, Dec 2019 |
Distributed Rate-Constrained LCMV BeamformingSoftware, Oct 2019 |
rate-distributed relative acoustic transfer function estimationSoftware, Oct 2019 |
Distributed block-diagonal linearly constrained beamformerSoftware, Apr 2019 |
joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformerSoftware, Apr 2019 |
relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformerSoftware, Apr 2019 |
relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer using semi-definite convex relaxation (SDCR)Software, Apr 2019 |
Rate-Distributed Spatial Filtering Based Noise Reduction in Wireless Acoustic Sensor NetworksSoftware, Jun 2018 |
Microphone Subset Selection for MVDR Beamformer Based Noise ReductionSoftware, Jan 2018 |
Parameter estimation for speech enhancement applications
Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysisThis software package is meant to estimate jointly all parameters in the multi-microphone setup using confirmatory factor analysis.Software, Dec 2019 |
MMSE-based noise PSD trackerSoftware, Mar 2010 |
Speech Analysis Methods
Voiced/Unvoiced Detection and Glottal Closure/OpeningA Fast Method for High-Resolution Voiced/Unvoiced Detection and Glottal Closure/Opening Instant Estimation of SpeechSoftware, Jan 2018 |
Speech enhancement and noise PSD estimation
Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysisThis software package is meant to estimate jointly all parameters in the multi-microphone setup using confirmatory factor analysis.Software, Dec 2019 |
Distributed block-diagonal linearly constrained beamformerSoftware, Apr 2019 |
joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformerSoftware, Apr 2019 |
relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformerSoftware, Apr 2019 |
relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer using semi-definite convex relaxation (SDCR)Software, Apr 2019 |
MMSE-based noise PSD trackerSoftware, Mar 2010 |
GenGam Log MMSEToolbox for log-spectral magnitude MMSE estimators of DFT coefficients under super-Gaussian densitiesSoftware, Jan 2009 |
GenGamToolbox for MMSE estimators of DFT coefficients under the generalized Gamma densitySoftware, Jan 2008 |
Speech intelligibility enhancement
Distributed Rate-Constrained LCMV BeamformingSoftware, Oct 2019 |
STOI-Optimal N-of-M Channel Selection for Cochlear ImplantsSoftware, Aug 2012 |
Near-End Speech EnhancementPre-processing algorithm to improve speech intelligibility in noise for the near-end listener.Software, May 2012 |
Speech intelligibility prediction
STOI – Short-Time Objective IntelligibilitySoftware, Jan 2018 |
Sensor Selection
Rate-Distributed Spatial Filtering Based Noise Reduction in Wireless Acoustic Sensor NetworksSoftware, Jun 2018 |
Microphone Subset Selection for MVDR Beamformer Based Noise ReductionSoftware, Jan 2018 |
Binaural speech enhancement
Binaural Beamforming Taking into Account Spatial Release from MaskingSoftware, Aug 2024 |
joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformerSoftware, Apr 2019 |
relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformerSoftware, Apr 2019 |
relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer using semi-definite convex relaxation (SDCR)Software, Apr 2019 |
Distributed processing
Distributed Rate-Constrained LCMV BeamformingSoftware, Oct 2019 |
rate-distributed relative acoustic transfer function estimationSoftware, Oct 2019 |
- 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. - HARMONICS TO THE RESCUE: WHY VOICED SPEECH IS NOT A WSS PROCESS
Giovanni Bologni; Richard Heusdens; Richard C. Hendriks;
In International Workshop on Acoustic Signal Enhancement (IWAENC),
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. - 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. - Channel Parameter Estimation Using a Wideband LFM Preamble: Comparison of the Fractional Fourier Transform and Matched Filtering
I. van der Werf; R. C. Hendriks; R. Heusdens;
In In 31st European Signal Processing Conference (EUSIPCO 2023),
2023. - 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. - 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. - Localization based on enhanced low frequency interaural level difference
Metin Calis; Steven van de Par; Richard Heusdens; Richard C. Hendriks;
IEEE Trans. Audio, Speech and Language processing,
Issue 29, pp. 3025 - 3039, Sep. 2021. DOI: https://doi.org/10.1109/TASLP.2021.3111583
document - Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework
Qiongxiu Li; R. Heusdens; M. Graesboll Christensen;
IEEE Trans. Signal Processing,
Volume 68, pp. 5983-5996, October 2020. - Spatially Correct Rate-Constrained Noise Reduction For Binaural Hearing Aids in Wireless Acoustic Sensor Networks
Jamal Amini; Richard C. Hendriks; Richard Heusdens; Meng Guo; Jesper Jensen;
IEEE Trans. Audio, Speech and Language processing,
Volume 28, pp. 2731-2742, Oct. 2020. DOI: 10.1109/TASLP.2020.3028264
document - Inferring the location of reflecting surfaces exploiting loudspeaker directivity
V. Zacca; P. Martinez-Nuevo; M. Moller; J.A. Martinez; R. Heusdens;
In 28th European Signal Processing Conference (EUSIPCO),
pp. 61-65, August 2020. - Convex optimization-based Privacy-Preserving Distributed Least Squares via Subspace Perturbation
Qiongxiu Li; R. Heusdens; M. Graesboll Christensen;
In 29th European Signal Processing Conference (EUSIPCO 2020),
Amsterdam (Netherlands), EURASIP, pp. 2110-2114, August 2020.
document - A Privacy-Preserving Asynchronous Averaging Algorithm based on State Decomposition
M. Calis; R. Heusdens; R.C. Hendriks;
In 29th European Signal Processing Conference (EUSIPCO 2020),
Amsterdam (Netherlands), EURASIP, pp. 2115-2119, August 2020.
document - Convex Optimisation-Based Privacy-Preserving Distributed Average Consensus in Wireless Sensor Networks
Qiongxiu Li; R. Heusdens; M. Graesboll Christensen;
In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
May 2020.
document - Clock-Offset and Microphone Gain Mismatch Invariant Beamforming
S.E. Kotti; R. Heusdens; R.C. Hendriks;
In 29th European Signal Processing Conference (EUSIPCO 2020),
Amsterdam (Netherlands), EURASIP, pp. 176-180, August 2020.
document - A Method for Determining the Length of FBG Sensors Accurately
Aydin Rajabzadeh; Richard Heusdens; Richard C. Hendriks; Roger M. Groves;
IEEE Photonics Technology Letters,
Volume 31, Issue 2, pp. 197-200, January 2019. DOI: 10.1109/LPT.2019.2891009
document - A Convex Approximation of the Relaxed Binaural Beamforming Optimization Problem
Andreas I. Koutrouvelis; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
IEEE/ACM Trans. on Audio, Speech and Language Processing,
Volume 27, Issue 2, pp. 321-331, February 2019. DOI: 10.1109/TASLP.2018.2878618
document • software - Distributed Rate-Constrained LCMV Beamforming
Jie Zhang; Andreas Koutrouvelis; Richard Heusdens; Richard C. Hendriks;
IEEE Signal Processing Letters,
Volume 26, Issue 5, pp. 675-697, May 2019. DOI: 10.1109/LSP.2019.2905161
document • software - Asymmetric Coding for Rate-Constrained Noise Reduction in Binaural Hearing Aids
Jamal Amini; Richard C. Hendriks; Richard Heusdens; Meng Guo; Jesper Jensen;
IEEE/ACM Trans. on Audio, Speech and Language Processing,
Volume 27, Issue 1, pp. 154-167, 2019. DOI: 10.1109/TASLP.2018.2876172
document - On the Distributed Method of Multipliers for Separable Convex Optimization Problems
T. Sherson; R. Heusdens; W.B. Kleijn;
IEEE Transactions on Signal and Information Processing over Networks,
March 2019. DOI: 10.1109/TSIPN.2019.2901649
document - Characterisation of Transverse Matrix Cracks in
Composite Materials Using Fibre Bragg Grating Sensors
A. Rajabzadeh; R. Heusdens; R. C. Hendriks; R. M. Groves;
IEEE/OSA Journal of Lightwave Technology,
Volume 37, Issue 18, pp. 4720 - 4727, 2019. DOI: 10.1109/JLT.2019.2919339
document - Robust Joint Estimation of MultiMicrophone Signal Model Parameters
Andreas I. Koutrouvelis; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;;
Trans. Audio, Speech and Language Processing,
Volume 27, Issue 7, pp. 1136 - 1150, July 2019.
document • software - Relative Acoustic Transfer Function Estimation in Wireless Acoustic Sensor Networks
Jie Zhang; Richard Heusdens; Richard C. Hendriks;
IEEE/ACM Trans. on Audio, Speech and Language Processing,
Volume 27, Issue 10, pp. 1507 - 1519, 2019. DOI: 10.1109/TASLP.2019.2923542
document • software - Rate-Constrained Noise Reduction in Wireless Acoustic Sensor Networks
Jamal Amini; Richard C. Hendriks; Richard Heusdens; Meng Guo; Jesper Jensen;
IEEE/ACM Trans. on Audio, Speech and Language Processing,
Volume 28, Issue 1-12, 2019. DOI: 10.1109/TASLP.2019.2947777
document - A novel binaural beamforming scheme with low complexity minimizing binaural-cue distortions
Andreas Koutrouvelis; Richard Hendriks; Richard Heusdens; Jesper Jensen; Meng Guo;
In IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
Brighton, UK, pp. 8013-8017, May 2019. DOI: 10.1109/ICASSP.2019.8682886
document - Sensor Selection and Rate Distribution Based Beamforming in Wireless Acoustic Sensor Networks
Jie Zhang; Richard Heusdens; Richard C. Hendriks;
In 27th European Signal Processing Conference (EUSIPCO 2019),
2019.
document - Estimation of Sensor Array Signal Model Parameters Using Factor Analysis
Andreas I. Koutrouvelis ; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In 27th European Signal Processing Conference (EUSIPCO 2019),
2019.
document • software - A method for determining the position of FBG sensors accurately
Aydin Rajabzadeh; Richard C. Hendriks; Richard Heusdens; Roger M. Groves;
In Proceedings Seventh European Workshop on Optical Fibre Sensors,
2019. - A Low-Cost Robust Distributed Linearly Constrained Beamformer for Wireless Acoustic Sensor Networks with Arbitrary Topology
A.I. Koutrouvelis; T.W. Sherson; R. Heusdens; R.C. Hendriks;
IEEE/ACM Transactions on Audio, Speech, and Language Processing,
Volume 26, Issue 8, pp. 1434-1448, August 2018. ISSN: 2329-9290. DOI: 10.1109/TASLP.2018.2829405
document • software - Calculation of the Mean Strain of Non-uniform Strain Fields Using Conventional FBG Sensors
Aydin Rajabzadeh; Richard Heusdens; Richard C. Hendriks; Roger M. Groves;
Journal of Lightwave Technology,
Volume 36, Issue 17, pp. 3716-3725, September 2018.
document • software - Rate-Distributed Spatial Filtering Based Noise Reduction in Wireless Acoustic Sensor Networks
Jie Zhang; R. Heusdens; R. C. Hendriks;
IEEE/ACM trans. Audio, Speech and Language Processing,
Volume 26, Issue 11, pp. 2015-2026, November 2018. ISSN: 2329-9290. DOI: 10.1109/TASLP.2018.2851157
document • software - Microphone Subset Selection for MVDR Beamformer Based Noise Reduction
Jie Zhang; S. P. Chepuri; R. C. Hendriks; R. Heusdens;
IEEE/ACM Transactions on Audio, Speech, and Language Processing,
Volume 26, Issue 3, pp. 550-563, March 2018. ISSN: 2329-9290. DOI: 10.1109/TASLP.2017.2786544
document • software - Distributed Optimization Using the Primal-Dual Method of Multipliers
Guoqiang Zhang; R. Heusdens;
IEEE Transactions on Signal and Information Processing over Networks,
Volume 4, Issue 1, pp. 173-187, March 2018. ISSN: 2373-776X. DOI: 10.1109/TSIPN.2017.2672403
document - Derivation and analysis of the primal-dual method of multipliers based on monotone operator theory
T.W. Sherson; R. Heusdens; W.B. Kleijn;
IEEE Transactions on Signal and Information Processing over Networks,
October 2018. - Operational Rate-Constrained Beamforming in Binaural Hearing Aids
J. Amini; R.C. Hendriks; R. Heusdens; Meng Guo; J. Jensen;
In 26th European Signal Processing Conference (EUSIPCO 2018),
2018. - Evaluation of Binaural Noise Reduction Methods in Terms of Intelligibility and Perceived Localization
A. I. Koutrouvelis; R. C. Hendriks; R. Heusdens; S. van de Par; J. Jensen; Meng Guo;
In 26th European Signal Processing Conference (EUSIPCO 2018),
2018.
document - Distributed TDOA-based indoor source localisation
Wangyang Yu; N.D. Gaubitch; R. Heusdens;
In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
Calgary (Canada), IEEE, pp. 6887-6891, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8462262
document - Quantisation effects in distributed optimisation
J.A.G. Jonkman; T. Sherson; R. Heusdens;
In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
Calgary (Canada), IEEE, pp. 3649-3653, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8461782
document - Analysis of FBG reflection spectra under anti-symmetrical strain distributions using the approximated transfer matrix model
A. Rajabzadeh; R.C. Hendriks; R. Heusdens; R.M. Groves;
In Proc. SPIE 10680, Optical Sensing and Detection V,
May 2018. DOI: 10.1117/12.2306381
document • software - Rate-Distributed Binaural LCMV Beamforming for Assistive Hearing in Wireless Acoustic Sensor Networks
Jie Zhang; Richard Heusdens; Richard Hendriks;
In IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM),
pp. 460-464, July 2018. ISSN: 2151-870X. DOI: 10.1109/SAM.2018.8448449
document - Operational Rate-Constrained Noise Reduction for Generalized Binaural Hearing Aid Setups
J. Amini; R.C. Hendriks; R. Heusdens; Meng Guo; Jesper Jensen;
In 2018 Symposium on Information Theory and Signal Processing in the Benelux,
University of Twente, Enschede, The Netherlands, May 2018. - Analysis of the Side-lobes of FBG Reflection Spectra From Matrix Cracks in Composites
A. Rajabzadeh; R. Heusdens; R.C. Hendriks; R.M. Groves;
In Optical Fiber Sensors,
Lausanne (Switzerland), Optical Society of America, pp. TuE97, September 2018. ISBN: 978-1-943580-50-7.
document - Binaural beamformer filtering unit, a hearing system and a hearing device
Jesper Jensen; Meng Guo; Richard Heusdens; Richard Hendriks; Jamal Amini;
Patent, US, EP EP 3306956A1, US 20180098, 2018. Assignee: Oticon AS.
document - Sound processing node of an arrangement of sound processing nodes
Yue Lang; Wenyu Jin; T. Sherson; R. Heusdens; W.B. Kleijn;
Patent, US, EP, CN, WO US20180270573A1, EP331159, March 2018. Assignee: Huawei Technologies Co Ltd.
document - Relaxed Binaural LCMV Beamforming
A. I. Koutrouvelis; R. C. Hendriks; R. Heusdens; J. Jensen;
IEEE/ACM Transactions on Audio, Speech, and Language Processing,
Volume 25, Issue 1, pp. 137-152, Jan. 2017. DOI: 10.1109/TASLP.2016.2628642
document • software • software - Distributed Optimization Using the Primal-Dual Method of Multipliers
Guoqiang Zhang; R. Heusdens;
IEEE Transactions on Signal and Information Processing over Networks,
February 2017. ISSN 2373-776X. DOI: 10.1109/TSIPN.2017.2672403
document - Classification of composite damage from fiber Bragg grating load monitoring signals
Aydin Rajabzadeh; Richard C. Hendriks; Richard Heusdens; Roger M. Groves;
In Proc. SPIE 10168: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems,
Portland (OR), SPIE, 2017. DOI: 10.1117/12.2257660
document - Modelling non-uniform strain distributions in aerospace composites using fibre Bragg gratings
Aydin Rajabzadeh; Roger M. Groves; Richard C. Hendriks; Richard Heusdens;
In Proc. SPIE 10323: 25th International Conference on Optical Fiber Sensors,
S. Korea, SPIE, 2017. DOI: 10.1117/12.2265376
document - Distributed max-SINR speech enhancement with ad hoc microphone arrays
V.M. Tavakoli; J.R. Jensen; R. Heusdens; J. Benesty; M.G. Christensen;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
New Orleans (USA), IEEE, pp. 151-155, March 2017. DOI: 10.1109/ICASSP.2017.7952136
document - Greedy alternative for room geometry estimation from acoustic echoes: a subspace-based method
M. Coutino; M.B. Moller; J.K. Nielsen; R. Heusdens;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
New Orleans (USA), IEEE, pp. 366-370, March 2017. DOI: 10.1109/ICASSP.2017.7952179
document - Quantisation effects in PDMM: a first study for synchronous distributed averaging
D.H.M. Schellekens; T. Sherson; R. Heusdens;
In Int. Conf. Audio Speech Signal Proc. (ICASSP),
New Orleans (USA), IEEE, pp. 4237-4241, March 2017. DOI: 10.1109/ICASSP.2017.7952955
document - Binaural Beamforming Using Pre-Determined Relative Acoustic Transfer Functions
A. Koutrouvelis; R.C. Hendriks; R. Heusdens; J. Jensen; Meng Guo;
In 25th European Signal Processing Conference (EUSIPCO 2017),
Kos (Greece), EURASIP, pp. 1-5, August 2017. ISBN 978-0-9928626-7-1, ISSN: ISSN: 2076-1465. DOI: 10.23919/EUSIPCO.2017.8081277
document - Binaural Speech Enhancement with Spatial Cue Preservation Utilising Simultaneous Masking
A. Koutrouvelis; J. Jensen; Meng Guo; R.C. Hendriks; R. Heusdens;
In 25th European Signal Processing Conference (EUSIPCO 2017),
Kos (Greece), EURASIP, pp. 628-632, August 2017. ISBN 978-0-9928626-7-1. DOI: 10.23919/EUSIPCO.2017.8081277
document - Distributed beamforming based on message passing
Heusdens, R.; Guoqiang Zhang; Hendriks, R.; Yang Zeng; Kleijn, W.B.;
Patent, US US9584909 B2, February 2017. Assignee: Google Inc..
document - System and method for emitting and especially controlling an audio signal in an environment using an objective intelligibility measure
Van Der Schaar, H.; Han, O.; Heusdens, R.; Hendriks, R.;
Patent, US US9659571 B2, May 2017. Assignee: Robert Bosch Gmbh.
document - A Fast Method for High-Resolution Voiced/Unvoiced Detection and Glottal Closure/Opening Instant Estimation of Speech
A.I. Koutrouvelis; G.P. Kafentzis; N.D. Gaubitch; R. Heusdens;
IEEE Trans. Audio, Speech and Language Processing,
Volume 24, Issue 2, pp. 316-328, February 2016. Matlab code available from Xplore. DOI: 10.1109/TASLP.2015.2506263
document • software - Improved multi-microphone noise reduction preserving binaural cues
A. Koutrouvelis; R. C. Hendriks; J. Jensen; R. Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Shanghai, China, March 2016.
document • software - Concurrent Localization of Sound Sources and Dual-Microphone Sub-Arrays Using TOFs
M. Farmani; R. Heusdens; M.S. Pedersen; J. Jensen;
In Proc. 19th Int. Conf. on Information Fusion (FUSION),
Heidelberg, Germany, July 5-8 2016. - A distributed algorithm for robust LCMV beamforming
T. Sherson; W.B. Kleijn; R. Heusdens;
In IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP),
Shanghai (China), IEEE, March 2016.
document - Room Geometry Estimation from Acoustic Echoes using Graph-Based Echo Labeling
Ingmar Jager; Richard Heusdens; Nikolay D. Gaubitch;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Shanghai, China, March 2016. Winner Best Student Paper Award track audio and acoustic signal processing.
document - DOA Estimation of Audio Sources in Reverberant Environments
Jesper Rindom Jensen; Jesper Kjaer Nielsen; Richard Heusdens; Mads Graesboll Christensen;
In Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
Shanghai, China, March 2016.
document - On Simplifying The Primal-Dual method of Multipliers
Guoqiang Zhang; Richard Heusdens;
In Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
Shanghai, China, March 2016.
document - Greedy Gossip Algorithm with Synchronous Communication for Wireless Sensor Networks
Jie Zhang; R. C. Hendriks; R. Heusdens;
In The 6th Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux,
pp. 228-235, 2016.
document - TDOA-based Self-Calibration of Dual-Microphone Arrays
M. Farmani; R. Heusdens; M. Syskind Pedersen; J. Jensen;
In EUSIPCO,
Budapest (Hungary), August 2016.
document - On the duality of globally constrained separable problems and its application to distributed signal processing
T. Sherson; R. Heusdens; W.B. Kleijn;
In EUSIPCO,
Budapest (Hungary), August 2016.
document - Ad Hoc Microphone Array Beamforming Using the Primal-Dual Method of Multipliers
V.M. Tavakoli; J.R. Jensen; R. Heusdens; J. Benesty; M.G. Christensen;
In EUSIPCO,
Budapest (Hungary), August 2016.
document - STRUCTURED TOTAL LEAST SQUARES BASED INTERNAL DELAY ESTIMATION FOR DISTRIBUTED MICROPHONE AUTO-LOCALIZATION
Jie Zhang; R. C. Hendriks; R. Heusdens;
In International Workshop on Acoustic Signal Enhancement (IWAENC),
2016.
document - On the Impact of Quantization on Binaural MVDR Beamforming
J. Amini; R. C. Hendriks; R. Heusdens; Meng Guo; Jesper Jensen;
In Proc. 12th ITG Symposium on Speech Communication,
2016.
document - A sound processing node of an arrangement of sound processing nodes
W. Jin; T.W. Sherson; W.B. Keijn; R. Heusdens; Y. Lang;
Patent, PCT/EP2016/078384, 2016. - Microphone autolocalization using moving acoustic source
Gaubitch, N.D.; Kleijn, W.B.; Heusdens, R.;
Patent, US US9488716 B2, November 2016. Assignee: Google Inc..
document - Detection and estimation of pulsar signals for navigation
C. Kabakchiev; V. Behar; P. Buist; R. Heusdens; I. Garvanov; D. Kabakchieva; N.D. Gaubitch; M. Bentum;
In 16th International Radar Symposium (IRS), 2015,
pp. 688 - 693, 2015. - Bi-alternating direction method of multipliers over graphs
Guoqiang Zhang; Richard Heusdens;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2015),
Brisbane (Australia), IEEE, 2015. - Sleep Apnea Detection Using Time-Delayed Heart Rate Variability
Marina Nano; Xi Long; Jan Werth; Ronald M. Aarts; Richard Heusdens;
In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,
pp. 7679 - 7682, 2015. - Real-time loudspeaker distance estimation with stereo audio
Jesper Kj?r Nielsen; Nikolay D. Gaubitch; Richard Heusdens; Jorge Martinez; Tobias L. Jensen; S?ren Holdt Jensen;
In 23rd European Signal Processing Conference (EUSIPCO), 2015,
Nice (France), EURASIP, pp. 250 - 254, 2015. - Self-localization for a set of microphones
W.B. Kleijn; N.D. Gaubitch; R. Heusdens;
U.S. patent No. 9,086,475, July 2015. - Self-localization for a set of microphones
W.B. Kleijn; N.D. Gaubitch; R. Heusdens;
Patent, U.S. patent No. 9,086,475, 2015. - Time-Delay Estimation for TOA-Based Localization of Multiple Sensors
R. Heusdens; N. Gaubitch;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2014),
Florence (Italy), IEEE, May 2014.
document - On the Convergence Rate of the Bi-Alternating Direction Method of Multipliers
Guoqiang Zhang; R. Heusdens; W.B. Kleijn;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2014),
Florence (Italy), IEEE, May 2014.
document - Calibration of distributed sound acquisition systems using TOA measurements from a moving acoustic source
N.D. Gaubitch; W.B. Kleijn; R. Heusdens;
In Proc. Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP 2014),
Florence (Italy), IEEE, May 2014.
document - A generalized Fourier domain: Signal processing framework and applications
Jorge Martinez Castaneda; Richard Heusdens; Richard C. Hendriks;
Signal Processing,
Volume 93, pp. 1259-1267, 2013.
document - Speech Energy Redistribution for Intelligibility Improvement in Noise Based on a Perceptual Distortion Measure
C. H. Taal; R. C. Hendriks; R. Heusdens;
Computer Speech and Language,
Volume 2013, 2013.
document • software - Large Scale LP Decoding with Low Complexity
Guoqiang Zhang; R. Heusdens; W.B. Kleijn;
IEEE Communications letters,
Volume 17, Issue 11, pp. 2152-2155, 2013. - Objective Estimation of Speech Quality for Communication Systems.
S. Möller; R. Heusdens;
Proceedings of the IEEE,
Volume 101, Issue 9, pp. 1955-1967, 2013. - Clique-based Distributed Beamforming for Speech Enhancement in Wireless Sensor Networks
Yuan Zeng; Richard C. Hendriks; Richard Heusdens;
In European Signal Proc. Conf. (EUSIPCO),
September 2013.
document - Bi-Alternating Direction Method of Multipliers
Guoqiang Zhang; Richard Heusdens;
In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
Vancouver, Canada, pp. 3317-3321, May 2013.
document - Simplified Alternating-Direction Message Passing for Dual MAP LP-Relaxation
Guoqiang Zhang; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Vancouver, Canada, pp. 3397-3401, May 2013.
document - Proximal Alternating-Direction Message-Passing for MAP LP Relaxation
Guoqiang Zhang; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Vancouver, Canada, pp. 3402-3406, May 2013.
document - A Low-complexity Spectro-Temporal Distortion Measure for Audio Processing Applications
Cees H. Taal; Richard C. Hendriks; Richard Heusdens;
IEEE Trans. Audio, Speech language Proc.,
Volume 20, pp. 1553-1564, May 2012.
document - Linear Coordinate-Descent Message-Passing for Quadratic Optimization
Guoqiang Zhang; Richard Heusdens;
Neural Computation,
Volume 24, Issue 12, pp. 3340-3370, December 2012. - Distributed MVDR Beamforming for (Wireless) Microphone Networks using Message Passing
Richard Heusdens; Guoqiang Zhang; Richard C. Hendriks; Yuan Zeng; W. Bastiaan Kleijn;
In Proc. IEEE Int. Workshop on Acoustic Echo and Noise Control (IWAENC),
September 2012.
document - Linear Coordinate-Descent Message-Passing for Quadratic Optimization
Guoqiang Zhang; Richard Heusdens;
In International Conference on Acoustics, Speech and Signal Processing,
pp. 2005-2008, 2012. - Generalized Linear Coordinate-Descent Message-Passing for Convex Optimization
Guoqiang Zhang; Richard Heusdens;
In International Conference on Acoustics, Speech and Signal Processing,
pp. 2009-2012, 2012. - Convergence of Generalized Linear Coordinate-Descent Message-Passing for Quadratic Optimization
Guoqiang Zhang; Richard Heusdens;
In IEEE Int. Symposium on Information Theory,
2012. - Matched Filtering Approach for Signal Acquisition in Radio-Pulsar Navigation
Richard Heusdens; Engelen, Steven; Buist, Peter J; Noroozi, Arash; Sundaramoorthy, Prem; Verhoeven, Chris; Bentum, Mark; Gill, Eberhard;
In 63rd International Astronautical Congress,
Naples, Italy, pp. 1-5, 2012. - Matching Pursuit for Channel Selection in Cochlear Implants Based on an Intelligibility Metric
Cees H. Taal; Richard C. Hendriks; Richard Heusdens;
In European Signal Proc. Conf. (EUSIPCO),
August 2012. Additional material: software - A Speech Preprocessing Strategy For Intelligibility Improvement In Noise Based On A Perceptual Distortion Measure
Cees H. Taal; Richard C. Hendriks; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
pp. 4061-4064, May 2012.
document • software - A Spatio-Temporal Generalized Fourier Domain Framework To Acoustic Modeling In Enclosed Spaces
Jorge Martinez Castaneda; Richard Heusdens; Richard C. Hendriks;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
pp. 529-532, May 2012.
document - System and method for emitting and especially controlling an audio signal in an environment using an objective intelligibility measure
H. van der Schaar; H. Oosterom; R. Heusdens; R. C. Hendriks;
Patent Publ. Nr. WO/2012/152323, Nov. 2012. - System and method for emitting and especially controlling an audio signal in an environment using an objective intelligibility measure
H. van der Schaar; H. Oosterom; R. Heusdens; R. C. Hendriks;
Patent, WO/2012/152323, 2012. - An Evaluation of Objective Measures for Intelligibility Prediction of Time-Frequency Weighted Noisy Speech
Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
Journal of the Acoustical Society of America,
Volume 130, pp. 3013-3027, 2011.
document - An Algorithm for Intelligibility Prediction of Time-Frequency Weighted Noisy Speech
Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
IEEE Trans. Audio, Speech Language Proc.,
Volume 19, pp. 2125-2136, 2011.
document • software - A Generalized Poisson Summation Formula and its Application to Fast Linear Convolution
J. Martinez; R. Heusdens; R.C. Hendriks;
IEEE Signal Process. Lett.,
Volume 18, Issue 9, pp. 501-504, 2011. DOI: 10.1109/LSP.2011.2161078
document • software - Min-Sum-Min Message-Passing for Quadratic Optimization
Guoqiang Zhang; Richard Heusdens;
In Proc. of the First International Conference on Advanced Communications and Computation,
pp. 137-142, 2011. - Speech Intelligibility Predictor and Applications Thereof
Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Ulrik Kjems; Jesper Jensen;
US Patent Application 13/045303, March 2011. - Speech Intelligibility Predictor and Applications Thereof
C.H. Taal; R.C. Hendriks; R. Heusdens; U. Kjems; J. Jensen;
Patent, US2011/0224976, 2011. - Noise spectrum tracking in noisy acoustical signals
R.C. Hendriks; J. Jensen; U. Kjems; R. Heusdens;
Patent, EP 2164066 A1, 2011. - n-Channel Asymmetric Entropy-Constrained Multiple-Description Lattice Vector Quantization
Jan Ostergaard; Richard Heusdens; Jesper Jensen;
IEEE Trans. Information Theory,
Volume 56, December 2010. - On Low-Complexity Simulation of Multichannel Room Impulse Responses
Jorge Martinez Castaneda; Richard Heusdens;
IEEE Signal Processing Letters,
Volume 17, Issue 7, pp. 667 -670, July 2010. DOI: 10.1109/LSP.2010.2051049 - A Short-Time Objective Intelligibility Measure for Time-Frequency Weighted Noisy Speech
Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Dallas, TX, pp. 4214-4217, 2010.
document • software - On linear versus non-linear magnitude-DFT estimators and the influence of super-Gaussian speech priors
Richard C. Hendriks; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Dallas, TX, pp. 4750-4753, 2010.
document - Noise and late-reverberation suppression in time-varying acoustical environments
Jan S. Erkelens; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Dallas, TX, IEEE, March 2010. - MMSE based noise PSD tracking with low complexity
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Dallas, TX, pp. 4266-4269, March 2010.
document • software - On Predicting the Difference in Intelligibility Before and After Single-Channel Noise Reduction
Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In Proc. IEEE Int. Workshop on Acoustic Echo and Noise Control (IWAENC),
Tel Aviv, Israel, September 2010.
document - Intelligibility Prediction of Single-Channel Noise-Reduced Speech
Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In ITG-Fachtagung Sprachkommunikation,
Bochum, Germany, October 2010.
document - Noise spectrum tracking in noisy acoustical signals
Richard C. Hendriks; Jesper Jensen; Ulrik Kjems; Richard Heusdens;
European Patent Application, March 2010. Publication number EP 2164066 A1. - Low Complexity DFT-Domain Noise PSD Tracking Using High-Resolution Periodograms
Richard C. Hendriks; Richard Heusdens; Jesper Jensen; Ulrik Kjems;
Eurasip Journal on Advances in Signal Processing,
Volume 2009, 2009.
document - On Optimal Multichannel Mean-Squared Error Estimators for Speech Enhancement
Richard C. Hendriks; Richard Heusdens; Ulrik Kjems; Jesper Jensen;
IEEE Signal Processing Letters,
Volume 16, Issue 10, pp. 885-888, October 2009.
document - Log-Spectral Magnitude MMSE Estimators under Super-Gaussian Densities
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In Interspeech,
pp. 1319-1322, 2009.
document • software - Single-microphone late-reverberation suppression in noisy speech by exploiting long-term correlation in the DFT domain
Jan S. Erkelens; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
pp. 3997-4000, 2009.
document - On Robustness of Multi-Channel Minimum Mean-Squared Error Estimators under Super-Gaussian Priors
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics,
pp. 157-160, 2009.
document - A Low-complexity spectro-temporal based perceptual model
Cees H. Taal; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
pp. 153-156, 2009.
document - Fast noise PSD estimation with low complexity
Richard C. Hendriks; Richard Heusdens; Jesper Jensen; Ulrik Kjems;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
pp. 3881-3884, 2009.
document - An Evaluation of Objective Quality Measures for Speech Intelligibility Prediction
Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen; Ulrik Kjems;
In Interspeech,
pp. 1947-1950, 2009.
document - On the Estimation of Complex Speech DFT Coefficients Without Assuming Independent Real and Imaginary Parts
Jan S. Erkelens; Richard C. Hendriks; Richard Heusdens;
IEEE Signal Processing Letters,
Volume 15, pp. 213-216, 2008.
document • software - Tracking of nonstationary noise based on data-driven recursive noise power estimation
Jan S. Erkelens; Richard Heusdens;
IEEE Trans. Audio, Speech Language Proc.,
Volume 16, Issue 6, pp. 1112-1123, August 2008.
document - Noise Tracking using DFT Domain Subspace Decompositions
Richard C. Hendriks; Jesper Jensen; Richard Heusdens;
IEEE Trans. Audio, Speech Language Proc.,
Volume 16, Issue 3, pp. 541-553, March 2008. - Fast noise tracking based on recursive smoothing of MMSE noise power estimates
Jan S. Erkelens; Richard Heusdens;
In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP),
pp. 4873-4876, 2008.
document - Comparison of Complex-DFT estimators with and without the independence Assumption of Real and Imaginary Parts
Richard C. Hendriks; Jan S. Erkelens; Richard Heusdens;
In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP),
2008.
document • software • software - Noise Tracking by Exploiting DFT-Domain Subspace Decompositions
Richard C. Hendriks; Jesper Jensen; Richard Heusdens;
In ITG-Fachtagung Sprachkommunikation (Aachen, Germany),
October 2008.
document - Minimum mean-square error estimation of discrete Fourier coefficients with generalized Gamma priors.
Jan S. Erkelens; Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
IEEE Trans. Audio, Speech Language Proc.,
Volume 15, Issue 6, pp. 1741-1752, August 2007.
document • software • software - An MMSE Estimator for Speech Enhancement under a Combined Stochastic-Deterministic Speech Model
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
IEEE Trans. Audio, Speech Language Proc.,
Volume 15, Issue 2, pp. 406-415, February 2007.
document - A data-driven approach to optimizing spectral speech enhancement methods for various error criteria
Jan S. Erkelens; Jesper Jensen; Richard Heusdens;
Speech Communication, Special Issue on Speech Enhancement,
Volume 49, pp. 530-541, July 2007. - Improved subspace-based single-channel speech enhancement using super-Gaussian priors
Jesper Jensen; Richard Heusdens;
IEEE Trans. Audio, Speech Language Proc.,
Volume 15, Issue 3, pp. 862-872, March 2007. - High-Resolution Spherical Quantization of Sinusoidal Parameters
P.E.L. Korten; Jesper Jensen; Richard Heusdens;
IEEE Trans. Audio, Speech Language Proc.,
Volume 15, Issue 3, pp. 966-981, March 2007. - Improved speech spectral variance estimation under the generalized-Gamma distribution
Jan S. Erkelens; Jesper Jensen; Richard Heusdens;
In IEEE Benelux/DSP Valley Signal Processing Symposium,
IEEE, pp. 43-46, 2007.
document - DFT Domain Subspace Based Noise Tracking for Speech Enhancement
Richard C. Hendriks; Jesper Jensen; Richard Heusdens;
In Interspeech,
pp. 830-833, August 2007.
document - The Rate Loss in Practical Multiple-Description Coding
Jan Ostergaard; Richard Heusdens; Jesper Jensen;
In IEEE Benelux/DSP Valley Signal Processing Symposium,
pp. 211-214, March 2007. - Entropy-Constrained High-Resolution Lattice Vector Quantization Using a Perceptually Relevant Distortion Measure
Richard Heusdens; W. Bastiaan Kleijn; A. Ozerov;
In Proc. Asilomar,
IEEE, November 2007. - Speech enhancement based on Rayleigh Mixture Modeling of speech spectral amplitude distributions
Jan S. Erkelens; Jesper Jensen; Richard Heusdens;
In European Signal Proc. Conf. (EUSIPCO),
pp. 65-69, September 2007. - Rate-distortion Optimal Time-segmentation and Redundancy Selection for VoIP
C.A. Rodbro; Jesper Jensen; Richard Heusdens;
IEEE Trans. Speech Audio Proc.,
2006. - Bit-Rate Scalable Intraframe Sinusoidal Audio Coding Based on Rate-Distortion Optimization
Richard Heusdens;
Journal of the Audio Engineering Society,
Volume 54, Issue 3, pp. 167-188, March 2006. - n-Channel Entropy-Constrained Multiple-Description Lattice Vector Quantization
Jan Ostergaard; Jesper Jensen; Richard Heusdens;
IEEE Trans. Information Theory,
Volume 52, Issue 5, pp. 1956-1973, May 2006. - Adaptive Time Segmentation for Improved Speech Enhancement
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
IEEE Trans. Audio, Speech Language Proc.,
Volume 14, Issue 6, pp. 2064-2074, November 2006.
document - A general optimization procedure for spectral speech enhancement methods
Jan S. Erkelens; Jesper Jensen; Richard Heusdens;
In European Signal Proc. Conf. (EUSIPCO),
September 2006.
document - On the Rate Loss in Perceptual Audio Coding
Jan Ostergaard; Richard Heusdens; Jesper Jensen;
In IEEE Benelux/DSP Valley Signal Processing Symposium,
pp. 27-30, March 2006. - Source-Channel Erasure Codes with Lattice Codebooks for Multiple Description Coding
Jan Ostergaard; Richard Heusdens; Jesper Jensen;
In IEEE Int. Symposium on Information Theory,
pp. 2324-2328, July 2006. - Speech Enhancement under a Combined Stochastic-Deterministic Model
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP),
pp. 453-456, May 2006.
document - RD Optimal Temporal Noise Shaping For Transform Audio Coding
O.A. Niamut; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
pp. 189-192, May 2006. - Perceptual Audio Coding using N-Channel Lattice Vector Quantization
Jan Ostergaard; O.A. Niamut; Jesper Jensen; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
pp. 197-200, May 2006. - High Resolution Spherical Quantization of Sinusoids with Harmonically Related Frequencies
P.E.L. Korten; Jesper Jensen; Richard Heusdens;
In Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing,
May 2006. - MMSE estimation of complex-valued discrete Fourier coefficients with generalized gamma priors
Jesper Jensen; Richard C. Hendriks; Jan S. Erkelens; Richard Heusdens;
In Interspeech,
pp. 257-260, September 2006.
document - Minimum mean-square error amplitude estimators for speech enhancement under the generalized Gamma distribution
Richard C. Hendriks; Jan S. Erkelens; Jesper Jensen; Richard Heusdens;
In Proc. IEEE Int. Workshop on Acoustic Echo and Noise Control (IWAENC),
September 2006.
document • software • software - Method and Apparatus for Audio Coding using Transient Relocation
R. Vafin; R Heusdens; S. van der Par; W.B. Kleijn;
Patent, US20013052, 2006. - Sinusoidal Model Based Coding of Audio Signals
R. Heusdens; R. Vafin; W.B. Kleijn;
Patent, US2002169345A, 2006. - Audio Coding with Non-Uniform Filter Bank.
O.A. Niamut; R. Heusdens;
Patent, EP2002755519A, 2006. - Frequency-Differential Coding of Sinusiodal Model Paramerters
J. Jensen; R. Heusdens;
Patent, EP2002762729A, 2006. - Combined Audio Coding Minimizing Perceptual Distortion
S. van de Par; N.H. van Schijndel; V. Kot; R. Heusdens;
Patent, WO2005IB52879A, 2006. - Noise Power Estimation
I. Batina; J. Jensen; R. Heusdens;
Patent, WO2006IB50771A, 2006. - Decoding of Sinusoidally Encoded Audio Signals
V. Kot; R. Heusdens; J. Jensen;
Patent, PH005528, 2006. - A Perceptual Model for Sinusoidal Audio Coding Based on Spectral Integration
S. van de Par; A. Kohlraush; Richard Heusdens; Jesper Jensen; S.H. Jensen;
EURASIP Journal on Applied Signal Processing,
Volume 2005, Issue 9, pp. 1292-1304, June 2005. - Optimal Time Segmentation For Overlap-Add Systems With Variable Amount Of Window Overlap
O.A. Niamut; Richard Heusdens;
IEEE Signal Processing Letters,
Volume 12, Issue 10, pp. 665-668, October 2005. - Upfront Time Segmentation Methods for Transform Coding of Audio
O.A. Niamut; R. Heusdens; H.J. Lincklaen Arriens;
In Proceedings of 119th Audio Engineering Society Convention,
New York, USA, pp. 12, October 2005.
document - Time Segmentation Algorithms for the Time-Varying MDCT
O.A. Niamut; Richard Heusdens;
In Proc. IEEE First Benelux/DSP Valley Signal Processing Symposium (SPS-DARTS),
pp. 101-104, April 2005. - A Study of the Distribution of Time-Domain Speech Samples and Discrete Fourier Coefficients
Jesper Jensen; Ivo Batina; Richard C. Hendriks; Richard Heusdens;
In Proc. IEEE First Benelux/DSP Valley Signal Processing Symposium,
pp. 155-158, April 2005.
document - Improved Subspace Based Speech Enhancement Using an Adaptive Time Segmentation
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In Proc. IEEE First Benelux/DSP Valley Signal Processing Symposium,
pp. 163-166, April 2005.
document - A Priori SNR Estimation for Speech Enhancement Using Kalman Filtering
Ivo Batina; Jesper Jensen; Richard Heusdens;
In Proc. IEEE SPS-DARTS 2005,
Antwerp, Belgium, April 2005. - n-Channel Symmetric Multiple-Description Lattice Vector Quantization
Jan Ostergaard; Jesper Jensen; Richard Heusdens;
In IEEE Proc. Data Compr. Conf.,
pp. 378-387, March 2005.
document - High Resolution Spherical Quantization of Sinusoidal Parameters Using a Perceptual Distortion Measure
P.E.L. Korten; Jesper Jensen; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoust. Speech, and Signal Proc. (ICASSP),
pp. 177-180, March 2005.
document - Adaptive Time Segmentation of Noisy Speech for Improved Speech Enhancement
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In IEEE Int. Conf. Acoust., Speech,Signal Processing (ICASSP),
pp. 153-156, March 2005.
document - Jointly Optimal Time Segmentation, Component Selection and Quantization for Sinusoidal Coding of Audio and Speech
Richard Heusdens; Jesper Jensen;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
Philadelphia, PA, USA, pp. 193-196, March 2005. - Upfront Time Segmentation Methods for Transform Coding of Audio
O.A. Niamut; Richard Heusdens; H.J. Lincklaen Arriens;
In Proc. 119th AES Convention,
October 2005. - On the Bit Distribution in Asymmetric Multiple-Description Coding
Jan Ostergaard; Richard Heusdens; Jesper Jensen;
In 26th Symposium on Information Theory in the Benelux,
pp. 81-88, May 2005.
document - Rate-Distortion Optimal High-Resolution Differential Quantization for Sinusoidal Coding of Audio and Speech
Richard Heusdens; Jesper Jensen; P.E.L. Korten;
In Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA),
New Paltz, NY, USA, pp. 243-246, October 2005. - Jointly Optimal Time Segmentation, Distribution and Quantization for Sinusoidal Coding of Audio and Speech
Richard Heusdens; Jesper Jensen; P.E.L. Korten;
In Proc. 119th AES Convention,
New York, USA, October 2005. - Smoothed Subspace Based Noise Suppression with Application to Speech Enhancement
Jesper Jensen; Richard C. Hendriks; Richard Heusdens; S.H. Jensen;
In European Signal Processing Conference (EUSIPCO),
Antalya, Turkey, September 2005.
document - n-Channel Asymmetric Multiple-Description Lattice Vector Quantization
Jan Ostergaard; Richard Heusdens; Jesper Jensen;
In IEEE Int. Symposium on Information Theory,
pp. 1793-1797, September 2005. - Kalman Filtering Based Noise Power Spectral Density Estimation for Speech Enhancement
Ivo Batina; Jesper Jensen; Richard Heusdens;
In Proc. European Signal Processing Conference (EUSIPCO),
September 2005. - Improved Decision Directed Approach for Speech Enhancement Using an Adaptive Time Segmentation
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In Interspeech,
pp. 2101-2104, September 2005.
document - Forward-Backward Decision Directed Approach for Speech Enhancement
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In Int. Workshop Acoustic Echo and Noise Control (IWAENC),
pp. 109-112, September 2005.
document - A Soft Model-Order Subspace Based Speech Enhancement Algorithm
Jesper Jensen; Richard Heusdens;
In Proc. IEEE Int. Workshop on Acoustic Echo and Noise Control (IWAENC),
Eindhoven, The Netherlands, pp. 57-60, September 2005. - Method for Separating a Sound Frame into Sinusoidal Components and Residual Noise
N. van Schijndel; M. Gomez Fuentes; R. Heusdens;
Patent, EP2003758500A, 2005. - A Perceptual Subspace Approach for Modelling of Speech and Audio Signals with Damped Sinusoids
Jesper Jensen; Richard Heusdens; S.H. Jensen;
IEEE Trans. Speech Audio Proc.,
Volume 12, Issue 2, pp. 121-132, March 2004. - Rate-Distortion Optimal Audio Coding with Signal Adaptive MDCT
O.A. Niamut; Richard Heusdens;
In Proc. IEEE Fourth Benelux Signal Processing Symposium (SPS'04),
pp. 79-82, April 2004. - Estimation of Sinusoidal Model Parameters Using Newton Optimization and a Perceptual Distortion Measure
D. Kloosterman; Richard Heusdens; Jesper Jensen;
In Proc. IEEE Fourth Benelux Signal Processing Symposium,
Hilvarenbeek, The Netherlands, pp. 199-202, April 2004. - Amplitude Scale Estimation Technique for Quantization-Based Watermarking
Ivo D. Shterev; R.L. Lagendijk; Richard Heusdens;
In Proc. IEEE Fourth Benelux Signal Processing Symposium,
Hilvarenbeek, The Netherlands, April 2004. - Perceptual linear predictive noise modelling for sinusoid-plus-noise audio coding
Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
pp. 189-192, May 2004.
document - Entropy Constrained Multiple Description Lattice Vector Quantization
Jan Ostergaard; Jesper Jensen; Richard Heusdens;
In IEEE Int. Conf. Acoust., Speech, Signal Proc. (ICASSP),
pp. 601-604, May 2004.
document - Adaptive Time-Segmentation for Speech Coding with Limited Time Delay
C.A. Rodbro; Jesper Jensen; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP),
Montreal, Canada, pp. 465-468, May 2004. Vol. I. - Statistical Amplitude Scale Estimation for Quantization-based Watermarking
Ivo D. Shterev; R.L. Lagendijk; Richard Heusdens;
In SPIE, Security, Steganography, and Watermarking of Multimedia Contents VI,
San Jose, CA, 2004.
document - RD Optimal Time Segmentations for the Time-Varying MDCT
O.A. Niamut; Richard Heusdens;
In Proc. 12th European Signal Processing Conference (EUSIPCO),
pp. 1649-1652, September 2004. - High Rate Spherical Quantization of Sinusoidal Parameters
P.E.L. Korten; Jesper Jensen; Richard Heusdens;
In Proc. 12th European Signal Processing Conference (EUSIPCO),
pp. 1805-1808, September 2004.
document - Subband Merging in Cosine-Modulated Filter Banks
O.A. Niamut; Richard Heusdens;
IEEE Signal Processing Letters,
Volume 10, Issue 4, pp. 111-114, April 2003. - Flexible Frequency Decompositions for Cosine-Modulated Filter Banks
O.A. Niamut; Richard Heusdens;
In Proc. IEEE Int. Conf. Acoustics, Speech, Signal Proc. (ICASSP),
pp. 449-452, April 2003. - A Comparisson of differential encoding schemes
Jesper Jensen; Richard Heusdens;
In Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics,
New Paltz, New York, USA, October 2003. - Towards a Better Balance in Sinusoidal-plus-Stochastic Representation
N.H. van Schijndel; M. Gomez; Richard Heusdens;
In Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics,
New Paltz, New York, USA, October 2003. - Perceptual Coding Using and Integrative Perceptual Distortion Measure
S. van der Par; R. Heusdens; A. Kohlrausch;
Patent, EP01203931.9, 2001. - Overlapped Transform Coding of Images: Theory, Application and Realization
R. Heusdens;
PhD thesis, Delft University of Technology, 1997.
document - Design of lapped orthogonal transforms
R. Heusdens;
IEEE Trans. on Image Processing,
Volume 5, Issue 8, pp. 1281-1284, August 1996. - Efficient orthogonal realization of image transforms
G.J. Hekstra; E.F. Deprettere; R. Heusdens; Z. Zeng;
In 1996 IEEE Workshop on VLSI Signal Processing,
San Fransisco, November 1996. - Fast VLSI Overlapped Transform Kernel
E.F. Deprettere; G.J. Hekstra; R. Heusdens;
In 1995 IEEE Workshop on VLSI Signal Processing,
Osaka, Japan, pp. 287-302, October 1995.
document - Multigrid processor arrays with application to VLSI multiscale image processing
R. Heusdens; E.F. Deprettere;
In Proceedings Massive Parallel Computing Workshop,
Leysin, Switzerland, pp. 1-52, March 1992 1992.
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