Richard Hendriks

About Richard Hendriks

Richard Hendriks, With an exceptional h-index of 30 and a recent h-index of 22 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of signal processing, speech enhancement, distributed signal processing.

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

Tensor Decomposition-Based Data Fusion for Biomarker Extraction from Multiple EEG Experiments

Optimal Pilot Design for OTFS in Linear Time-Varying Channels

Doppler-tolerant underwater communications

On the equivalence of OSDM and OTFS

Noise PSD Insensitive RTF Estimation in a Reverberant and Noisy Environment

Adaptive time segmentation for improved signal model parameter estimation for a single-source scenario

Estimation of Cardiac Fibre Direction Based on Activation Maps

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

Richard Hendriks Information

University

Position

Associate professor

Citations(all)

7148

Citations(since 2020)

4050

Cited By

4715

hIndex(all)

30

hIndex(since 2020)

22

i10Index(all)

68

i10Index(since 2020)

42

Email

University Profile Page

Google Scholar

Richard Hendriks Skills & Research Interests

signal processing

speech enhancement

distributed signal processing

Top articles of Richard Hendriks

Title

Journal

Author(s)

Publication Date

Tensor Decomposition-Based Data Fusion for Biomarker Extraction from Multiple EEG Experiments

KR Stunnenberg

RC Hendriks

JL Vroegop

ML Adank

B Hunyadi

2024/4/14

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

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

Noise PSD Insensitive RTF Estimation in a Reverberant and Noisy Environment

Changheng Li

Richard C Hendriks

2023/6/4

Adaptive time segmentation for improved signal model parameter estimation for a single-source scenario

Changheng Li

Richard C Hendriks

2023/10/29

Estimation of Cardiac Fibre Direction Based on Activation Maps

Johannes W de Vries

Miao Sun

Natasja MS de Groot

Richard C Hendriks

2023/6/4

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

Exploring the use of Granger causality for the identification of chemical exposure based on physiological data

Frontiers in Network Physiology

S Difrancesco

JU van Baardewijk

AS Cornelissen

Carolina Varon

RC Hendriks

...

2023/3/15

Alternating Least-Squares-Based Microphone Array Parameter Estimation for A Single-Source Reverberant and Noisy Acoustic Scenario

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Changheng Li

Richard C Hendriks

2023/8/24

Joint maximum likelihood estimation of microphone array parameters for a reverberant single source scenario

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Changheng Li

Jorge Martinez

Richard Christian Hendriks

2023/1/9

A Singular-value-based Marker for the Detection of Atrial Fibrillation Using High-resolution Electrograms and Multi-lead ECG

arXiv preprint arXiv:2307.02806

Hanie Moghaddasi

Richard C Hendriks

Borbala Hunyadi

Paul Knops

Mathijs S van Schie

...

2023/7/6

High Dominant Frequencies and Fractionated Potentials Do Not Indicate Focal or Rotational Activation During AF

Clinical Electrophysiology

Lianne N van Staveren

Richard C Hendriks

Yannick JHJ Taverne

Natasja MS de Groot

2023/7/1

Transmit Waveform Design Based on the Cramér-Rao Lower Bound

Ids Van der Werf

Richard C Hendriks

Richard Heusdens

Geert Leus

2023/12/10

On Loudspeakers as Recording Devices

Tobias Roest

Jorge Martinez

Han Oosterom

Richard C Hendriks

2022/5/2

Towards Gridless Sound Field Reconstruction

Ids Van der Werf

Pablo Martínez-Nuevo

Martin Møller

Richard Hendriks

Jorge Martinez

2022/8/29

Joint cardiac tissue conductivity and activation time estimation using confirmatory factor analysis

Computers in Biology and Medicine

Miao Sun

Natasja MS de Groot

Richard C Hendriks

2022/5/1

On the Integration of Acoustics and LiDAR: a Multi-Modal Approach to Acoustic Reflector Estimation

Ellen Riemens

Pablo Martínez-Nuevo

Jorge Martinez

Martin Møller

Richard C Hendriks

2022/8/29

An accurate and efficient method to train classifiers for atrial fibrillation detection in ECGs: Learning by asking better questions

Computers in Biology and Medicine

Fons J Wesselius

Mathijs S van Schie

Natasja MS De Groot

Richard C Hendriks

2022/4/1

Surface Electrocardiogram Reconstruction Using Intra-operative Electrograms

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

Hanie Moghaddasi

Borbála Hunyadi

Alle-Jan van der Veen

Natasja MS de Groot

Richard C Hendriks

2022/6/1

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

Co-Authors

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