Richard Heusdens

About Richard Heusdens

Richard Heusdens, With an exceptional h-index of 33 and a recent h-index of 21 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of signal processing, audio and acoustic processing, distributed signal processing, information theory, distributed optimisation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Distributed Optimisation with Linear Equality and Inequality Constraints using PDMM

Doppler-tolerant underwater communications

On the equivalence of OSDM and OTFS

Privacy-Preserving Distributed Optimisation using Stochastic PDMM

Topology-Dependent Privacy Bound for Decentralized Federated Learning

Optimal Pilot Design for OTFS in Linear Time-Varying Channels

Array Design Based on the Worst-Case Cramér-Rao Bound to Account for Multiple Targets

Robust Pareto-Optimal Radar Receive Filter Design for Noise and Sidelobe Suppression

Richard Heusdens Information

University

Position

Professor Netherlands Defence Academy

Citations(all)

7663

Citations(since 2020)

3804

Cited By

5384

hIndex(all)

33

hIndex(since 2020)

21

i10Index(all)

110

i10Index(since 2020)

43

Email

University Profile Page

Google Scholar

Richard Heusdens Skills & Research Interests

signal processing

audio and acoustic processing

distributed signal processing

information theory

distributed optimisation

Top articles of Richard Heusdens

Title

Journal

Author(s)

Publication Date

Distributed Optimisation with Linear Equality and Inequality Constraints using PDMM

Richard Heusdens

Guoqiang Zhang

2024/2

Doppler-tolerant underwater communications

Science Talks

Ids van der Werf

Richard Heusdens

Richard C Hendriks

2024/3/1

On the equivalence of OSDM and OTFS

Signal Processing

Ids van der Werf

Henry Dol

Koen Blom

Richard Heusdens

Richard C Hendriks

...

2024/1/1

Privacy-Preserving Distributed Optimisation using Stochastic PDMM

Sebastian O Jordan

Qiongxiu Li

Richard Heusdens

2024/4/14

Topology-Dependent Privacy Bound for Decentralized Federated Learning

arXiv preprint arXiv:2312.07956

Qiongxiu Li

Wenrui Yu

Changlong Ji

Richard Heusdens

2023/12/13

Optimal Pilot Design for OTFS in Linear Time-Varying Channels

arXiv preprint arXiv:2403.19379

Ids van der Werf

Richard Heusdens

Richard C Hendriks

Geert Leus

2024/3/28

Array Design Based on the Worst-Case Cramér-Rao Bound to Account for Multiple Targets

Costas A Kokke

Mario Coutino

Richard Heusdens

Geert Leus

2023/10/29

Robust Pareto-Optimal Radar Receive Filter Design for Noise and Sidelobe Suppression

Costas A Kokke

Mario Coutiño

Richard Heusdens

Geert Leus

Laura Anitori

2023/9/4

Channel Parameter Estimation Using a Wideband LFM Preamble: Comparison of the Fractional Fourier Transform and Matched Filtering

Ids Van der Werf

Richard C Hendriks

Richard Heusdens

2023/9/4

Sensor Selection using the Two-Target Cram\'er-Rao Bound for Angle of Arrival Estimation

arXiv preprint arXiv:2307.16478

Costas A Kokke

Mario Coutiño

Laura Anitori

Richard Heusdens

Geert Leus

2023/7/31

Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus

IEEE Transactions on Information Forensics and Security

Qiongxiu Li

Jaron Skovsted Gundersen

Milan Lopuhaä-Zwakenberg

Richard Heusdens

2023/12/15

Sensor Selection for Angle of Arrival Estimation Based on the Two-Target Cramér-Rao Bound

Costas A Kokke

Mario Coutino

Laura Anitori

Richard Heusdens

Geert Leus

2023/6/4

Transmit Waveform Design Based on the Cramér-Rao Lower Bound

Ids Van der Werf

Richard C Hendriks

Richard Heusdens

Geert Leus

2023/12/10

Convergence of stochastic pdmm

Sebastian O Jordan

Thomas W Sherson

Richard Heusdens

2023/6/4

Single-Pulse Estimation of Target Velocity on Planar Arrays

Costas A Kokke

Mario Coutiño

Richard Heusdens

Geert Leus

Laura Anitori

2022/8/29

Two for the price of one: communication efficient and privacy-preserving distributed average consensus using quantization

Qiongxiu Li

Milan Lopuhaä-Zwakenberg

Richard Heusdens

Mads Græsbøll Christensen

2022/8/29

Papers not appearing in the proceedings

Pre-Proceedings of the 2022 Symposium on Information Theory and Signal Processing in the Benelux

Miao Sun

Natasja MS de Groot

Richard C Hendriks

Johannes W de Vries

Maosheng Yang

...

2022/6/1

Communication efficient privacy-preserving distributed optimization using adaptive differential quantization

Signal Processing

Qiongxiu Li

Richard Heusdens

Mads Græsbøll Christensen

2022/5/1

Privacy-preserving distributed processing: metrics, bounds and algorithms

IEEE Transactions on Information Forensics and Security

Qiongxiu Li

Jaron Skovsted Gundersen

Richard Heusdens

Mads Græsbøll Christensen

2021/1/8

Acoustic reflectors localization from stereo recordings using neural networks

Giovanni Bologni

Richard Heusdens

Jorge Martinez

2021/6/6

See List of Professors in Richard Heusdens University(Technische Universiteit Delft)