dr.ir. R. Heusdens

Guest Associate Professor
Signal Processing Systems (SPS), Department of Microelectronics

Expertise: Audio and acoustic signal processing, distributed signal processing, information theory (source coding), speech enhancement

Themes: Autonomous sensor systems

Biography

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)

Education history

EE4182 Digital audio and speech processing

(not running) Audio, speech and acoustic signal processing, speech enhancement, microphone-array signal processing

EE4540 Distributed signal processing

(not running) Signal processing techniques for decentralized 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 analysis

This 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 estimation

Software, Oct 2019

Calculation of the Mean Strain of Smooth Non-uniform Strain Fields Using Conventional FBG Sensors

Matlab code for Calculation of the Mean Strain of Smooth Non-uniform Strain Fields Using Conventional FBG Sensors

Software, 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 computations

Software, Jan 2011

Multi-Microphone

Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysis

This 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 Beamforming

Software, Oct 2019

rate-distributed relative acoustic transfer function estimation

Software, Oct 2019

Distributed block-diagonal linearly constrained beamformer

Software, Apr 2019

joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformer

Software, Apr 2019

relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer

Software, 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 Networks

Software, Jun 2018

Microphone Subset Selection for MVDR Beamformer Based Noise Reduction

Software, Jan 2018

Parameter estimation for speech enhancement applications

Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysis

This 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 tracker

Software, Mar 2010

Speech Analysis Methods

Voiced/Unvoiced Detection and Glottal Closure/Opening

A Fast Method for High-Resolution Voiced/Unvoiced Detection and Glottal Closure/Opening Instant Estimation of Speech

Software, Jan 2018

Speech enhancement and noise PSD estimation

Robust joint multi-microphone parameter based on simultaneous confirmatory factor analysis

This 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 beamformer

Software, Apr 2019

joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformer

Software, Apr 2019

relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer

Software, Apr 2019

relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer using semi-definite convex relaxation (SDCR)

Software, Apr 2019

MMSE-based noise PSD tracker

Software, Mar 2010

GenGam Log MMSE

Toolbox for log-spectral magnitude MMSE estimators of DFT coefficients under super-Gaussian densities

Software, Jan 2009

GenGam

Toolbox for MMSE estimators of DFT coefficients under the generalized Gamma density

Software, Jan 2008

Speech intelligibility enhancement

Distributed Rate-Constrained LCMV Beamforming

Software, Oct 2019

STOI-Optimal N-of-M Channel Selection for Cochlear Implants

Software, Aug 2012

Near-End Speech Enhancement

Pre-processing algorithm to improve speech intelligibility in noise for the near-end listener.

Software, May 2012

Speech intelligibility prediction

STOI – Short-Time Objective Intelligibility

Software, Jan 2018

Sensor Selection

Rate-Distributed Spatial Filtering Based Noise Reduction in Wireless Acoustic Sensor Networks

Software, Jun 2018

Microphone Subset Selection for MVDR Beamformer Based Noise Reduction

Software, Jan 2018

Binaural speech enhancement

joint binaural linearly constrained minimum variance (JBLCMV) binaural beamformer

Software, Apr 2019

relaxed binaural linearly constrained minimum variance (RJBLCMV) binaural beamformer

Software, 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 Beamforming

Software, Oct 2019

rate-distributed relative acoustic transfer function estimation

Software, Oct 2019

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

  7. 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.

  8. 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

  9. 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.

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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
    documentsoftware

  16. 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
    documentsoftware

  17. 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

  18. 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

  19. 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

  20. 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.
    documentsoftware

  21. 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
    documentsoftware

  22. 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

  23. 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

  24. 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

  25. 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.
    documentsoftware

  26. 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.

  27. 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
    documentsoftware

  28. 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.
    documentsoftware

  29. 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
    documentsoftware

  30. 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
    documentsoftware

  31. 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

  32. 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.

  33. 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.

  34. 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

  35. 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

  36. 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

  37. 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
    documentsoftware

  38. 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

  39. 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.

  40. 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

  41. 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

  42. 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

  43. 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
    documentsoftwaresoftware

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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
    documentsoftware

  55. 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.
    documentsoftware

  56. 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.

  57. 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

  58. 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

  59. 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

  60. 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

  61. 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

  62. TDOA-based Self-Calibration of Dual-Microphone Arrays
    M. Farmani; R. Heusdens; M. Syskind Pedersen; J. Jensen;
    In EUSIPCO,
    Budapest (Hungary), August 2016.
    document

  63. 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

  64. 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

  65. 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

  66. 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

  67. 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.

  68. Microphone autolocalization using moving acoustic source
    Gaubitch, N.D.; Kleijn, W.B.; Heusdens, R.;
    Patent, US US9488716 B2, November 2016. Assignee: Google Inc..
    document

  69. 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.

  70. 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.

  71. 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.

  72. Real-time loudspeaker distance estimation with stereo audio
    Jesper Kjr Nielsen; Nikolay D. Gaubitch; Richard Heusdens; Jorge Martinez; Tobias L. Jensen; Sren Holdt Jensen;
    In 23rd European Signal Processing Conference (EUSIPCO), 2015,
    Nice (France), EURASIP, pp. 250 - 254, 2015.

  73. Self-localization for a set of microphones
    W.B. Kleijn; N.D. Gaubitch; R. Heusdens;
    U.S. patent No. 9,086,475, July 2015.

  74. Self-localization for a set of microphones
    W.B. Kleijn; N.D. Gaubitch; R. Heusdens;
    Patent, U.S. patent No. 9,086,475, 2015.

  75. 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

  76. 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

  77. 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

  78. 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

  79. 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.
    documentsoftware

  80. 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.

  81. Objective Estimation of Speech Quality for Communication Systems.
    S. Möller; R. Heusdens;
    Proceedings of the IEEE,
    Volume 101, Issue 9, pp. 1955-1967, 2013.

  82. A generalized Fourier domain: Signal processing framework and applications
    Jorge Martinez; Richard Heusdens; Richard C. Hendriks;
    Signal Processing,
    Volume 93, Issue 5, pp. 1259 - 1267, 2013. DOI: http://dx.doi.org/10.1016/j.sigpro.2012.10.015
    document

  83. 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

  84. 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

  85. 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

  86. 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

  87. 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

  88. Linear Coordinate-Descent Message-Passing for Quadratic Optimization
    Guoqiang Zhang; Richard Heusdens;
    Neural Computation,
    Volume 24, Issue 12, pp. 3340-3370, December 2012.

  89. 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.
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  90. 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.

  91. 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.

  92. Convergence of Generalized Linear Coordinate-Descent Message-Passing for Quadratic Optimization
    Guoqiang Zhang; Richard Heusdens;
    In IEEE Int. Symposium on Information Theory,
    2012.

  93. 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.

  94. 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

  95. 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.
    documentsoftware

  96. 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

  97. A spatio-temporal generalized fourier domain framework to acoustic modeling in enclosed spaces
    Jorge Martinez; Richard Heusdens;
    In Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP),
    pp. 529-532, 2012. DOI: 10.1109/ICASSP.2012.6287933
    document

  98. 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.

  99. 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.

  100. 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

  101. 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.
    documentsoftware

  102. A Generalized Poisson Summation Formula and its Application to Fast Linear Convolution
    Jorge Martinez; Richard Heusdens; Richard C. Hendriks;
    {IEEE} Signal Process. Lett.,
    Volume 18, Issue 9, pp. 501 -504, September 2011. DOI: 10.1109/LSP.2011.2161078

  103. 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
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  104. 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.

  105. 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.

  106. Speech Intelligibility Predictor and Applications Thereof
    C.H. Taal; R.C. Hendriks; R. Heusdens; U. Kjems; J. Jensen;
    Patent, US2011/0224976, 2011.

  107. Noise spectrum tracking in noisy acoustical signals
    R.C. Hendriks; J. Jensen; U. Kjems; R. Heusdens;
    Patent, EP 2164066 A1, 2011.

  108. n-Channel Asymmetric Entropy-Constrained Multiple-Description Lattice Vector Quantization
    Jan Ostergaard; Richard Heusdens; Jesper Jensen;
    IEEE Trans. Information Theory,
    Volume 56, December 2010.

  109. 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

  110. On Low-Complexity Simulation of Multichannel Room Impulse Responses
    Jorge Martinez; Richard Heusdens;
    {IEEE} Signal Process. Lett.,
    Volume 17, Issue 7, pp. 667 -670, July 2010. DOI: 10.1109/LSP.2010.2051049
    Keywords: ... free-field plenacoustic spectrum;image source model;low-complexity RIR method;low-complexity simulation algorithm;multi-input multi-output system;multichannel room impulse response;next generation communication system;rigid boundaries;spatial aliasing;spectral sampling;virtual free-field sources;wall reflection;wave equation;MIMO communication;acoustic signal processing;architectural acoustics;image sampling;transient response;wave equations;wireless channels;.

  111. 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.
    documentsoftware

  112. 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.
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  113. 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.

  114. 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.
    documentsoftware

  115. 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

  116. 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

  117. 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.

  118. 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

  119. 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

  120. Log-Spectral Magnitude MMSE Estimators under Super-Gaussian Densities
    Richard C. Hendriks; Richard Heusdens; Jesper Jensen;
    In Interspeech,
    pp. 1319-1322, 2009.
    documentsoftware

  121. 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

  122. 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

  123. 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

  124. 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

  125. 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

  126. 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.
    documentsoftware

  127. 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

  128. 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.

  129. 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

  130. 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.
    documentsoftwaresoftware

  131. Noise Tracking by Exploiting DFT-Domain Subspace Decompositions
    Richard C. Hendriks; Jesper Jensen; Richard Heusdens;
    In ITG-Fachtagung Sprachkommunikation (Aachen, Germany),
    October 2008.
    document

  132. 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.
    documentsoftwaresoftware

  133. 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

  134. 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.

  135. 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.

  136. 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.

  137. 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

  138. DFT Domain Subspace Based Noise Tracking for Speech Enhancement
    Richard C. Hendriks; Jesper Jensen; Richard Heusdens;
    In Interspeech,
    pp. 830-833, August 2007.
    document

  139. 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.

  140. 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.

  141. 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.

  142. Rate-distortion Optimal Time-segmentation and Redundancy Selection for VoIP
    C.A. Rodbro; Jesper Jensen; Richard Heusdens;
    IEEE Trans. Speech Audio Proc.,
    2006.

  143. 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.

  144. 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.

  145. 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

  146. 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

  147. 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.

  148. 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.

  149. 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

  150. 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.

  151. 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.

  152. 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.

  153. 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

  154. 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.
    documentsoftwaresoftware

  155. Method and Apparatus for Audio Coding using Transient Relocation
    R. Vafin; R Heusdens; S. van der Par; W.B. Kleijn;
    Patent, US20013052, 2006.

  156. Sinusoidal Model Based Coding of Audio Signals
    R. Heusdens; R. Vafin; W.B. Kleijn;
    Patent, US2002169345A, 2006.

  157. Audio Coding with Non-Uniform Filter Bank.
    O.A. Niamut; R. Heusdens;
    Patent, EP2002755519A, 2006.

  158. Frequency-Differential Coding of Sinusiodal Model Paramerters
    J. Jensen; R. Heusdens;
    Patent, EP2002762729A, 2006.

  159. Combined Audio Coding Minimizing Perceptual Distortion
    S. van de Par; N.H. van Schijndel; V. Kot; R. Heusdens;
    Patent, WO2005IB52879A, 2006.

  160. Noise Power Estimation
    I. Batina; J. Jensen; R. Heusdens;
    Patent, WO2006IB50771A, 2006.

  161. Decoding of Sinusoidally Encoded Audio Signals
    V. Kot; R. Heusdens; J. Jensen;
    Patent, PH005528, 2006.

  162. 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.

  163. 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.

  164. 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

  165. 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.

  166. 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

  167. 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

  168. 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.

  169. 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

  170. 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

  171. 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

  172. 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.

  173. 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.

  174. 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

  175. 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.

  176. 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.

  177. 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

  178. 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.

  179. 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.

  180. 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

  181. 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

  182. 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.

  183. Method for Separating a Sound Frame into Sinusoidal Components and Residual Noise
    N. van Schijndel; M. Gomez Fuentes; R. Heusdens;
    Patent, EP2003758500A, 2005.

  184. 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.

  185. 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.

  186. 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.

  187. 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.

  188. 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

  189. 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

  190. 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.

  191. 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

  192. 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.

  193. 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

  194. 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.

  195. 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.

  196. 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.

  197. 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.

  198. Perceptual Coding Using and Integrative Perceptual Distortion Measure
    S. van der Par; R. Heusdens; A. Kohlrausch;
    Patent, EP01203931.9, 2001.

  199. Overlapped Transform Coding of Images: Theory, Application and Realization
    R. Heusdens;
    PhD thesis, Delft University of Technology, 1997.
    document

  200. Design of lapped orthogonal transforms
    R. Heusdens;
    IEEE Trans. on Image Processing,
    Volume 5, Issue 8, pp. 1281-1284, August 1996.

  201. 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.

  202. 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

  203. 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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Last updated: 31 Dec 2022