Signal Processing Systems
Dept. of Microelectronics

ir. I. van der Werf

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

Expertise: audio signal processing; underwater communication

Themes: Signal processing for communication

Biography

Starting in August 2022, Ids is a PhD student at SPS with Richard Hendriks, working on a project about underwater communications, more specifically about creating a high bandwidth, doppler tolerant communication link. The project is a collaboration between TNO (a dutch research institute), the NLDA (Dutch defence academy) and the TU Delft.

Ids received the MSc degree from TU Delft in April 2022, on the topic of gridless sound field reconstruction.

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.

Communication technology unlocking the ocean – UCOMMS at the edge

Development of underwater communication techniques to improve the communication efficiency.

  1. Optimal pilot design for OTFS in linear time-varying channels
    Ids Van der Werf; Richard Heusdens; Richard C. Hendriks; Geert Leus;
    Signal Processing,
    Volume 239, pp. 110223, 2026. DOI: 10.1016/j.sigpro.2025.110223
    document

  2. On Jointly CRB-optimal Arrays and Waveforms for Multi-Target Active Sensing
    Ids Van der Werf; Geert Leus;
    In 2025 59th Asilomar Conference on Signals, Systems, and Computers,
    pp. 1724-1728, 2025. DOI: 10.1109/IEEECONF67917.2025.11443763
    document

  3. Jointly Optimal Array Geometries and Waveforms in Active Sensing: New Insights Into Array Design via the Cramér-Rao Bound
    Ids Van der Werf; Geert Leus; Robin Rajamäki;
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 1-5, 2025. DOI: 10.1109/ICASSP49660.2025.10890202
    document

  4. On the equivalence of OSDM and OTFS
    Ids Van der Werf; Henry Dol; Koen Blom; Richard Heusdens; Richard C. Hendriks; Geert Leus;
    Signal Processing,
    Volume 214, pp. 109254, 2024. DOI: 10.1016/j.sigpro.2023.109254
    document

  5. Transmit and Receive Sensor Selection Using the Multiplicity in the Virtual Array
    Ids Van der Werf; Costas A. Kokke; Richard Heusdens; Richard C. Hendriks; Geert Leus; Mario Coutino;
    In 2024 32nd European Signal Processing Conference (EUSIPCO),
    pp. 2272-2276, 2024.
    document

  6. Optimized Pilot Design for OTFS Modulation in Underwater Acoustic Communications
    Ids van der Werf; Konstantinos Pelekanakis; Richard C. Hendriks; Richard Heusdens; Geert Leus;
    In 2024 Seventh Underwater Communications and Networking Conference (UComms),
    pp. 1-5, 2024. DOI: 10.1109/UComms64662.2024.10847980

  7. Receiver Antenna Allocation for Joint Sensing and Communications
    Ids Van der Werf; Geert Leus; Sundeep Prabhakar Chepuri;
    In 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM),
    pp. 1-5, 2024. DOI: 10.1109/SAM60225.2024.10636382
    document

  8. 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.

  9. Transmit Waveform Design Based on the Cramér-Rao Lower Bound
    Ids Van der Werf; Richard C. Hendriks; Richard Heusdens; Geert Leus;
    In IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
    pp. 166-170, 2023. DOI: 10.1109/CAMSAP58249.2023.10403457
    document

  10. Towards gridless sound field reconstruction
    Ids van der Werf; Pablo Martínez-Nuevo; Martin Møller; Richard C. Hendriks; Jorge Martinez;
    In 30th European Signal Processing Conference (EUSIPCO 2022),
    2022.
    document

BibTeX support

Last updated: 31 Dec 2022

Ids van der Werf