A study of multichannel noise reduction linear filters in the time domain

Jacob Benesty, Mehrez Souden, Jingdong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We propose a new study of multichannel time-domain noise reduction filters where we decompose the noise-free microphone array observations into two components: the first is correlated with the target signal and perfectly coherent across the sensors while the second consists of residual interference. Then, alternative formulations of well known time-domain filters, namely, the minimum variance distortionless response (MVDR), the linearly constrained minimum variance (LCMV), the multichannel tradeoff, and Wiener filters are given. Besides, the performance of these time-domain filters are analytically investigated and new insights are presented. Numerical results are finally provided to corroborate our study.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011 - Xi'an, China
Duration: 14 Sep 201116 Sep 2011

Publication series

Name2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011

Conference

Conference2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
Country/TerritoryChina
CityXi'an
Period14/09/1116/09/11

Keywords

  • beamforming
  • microphone array
  • Noise reduction
  • speech enhancement
  • Wiener filter

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