Optimal Time-Domain Noise Reduction Filters

A Theoretical Study

  • Jacob Benesty
  • Jingdong Chen

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC, volume 1)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Jacob Benesty, Jingdong Chen
    Pages 1-2
  3. Jacob Benesty, Jingdong Chen
    Pages 3-21
  4. Jacob Benesty, Jingdong Chen
    Pages 43-59
  5. Jacob Benesty, Jingdong Chen
    Pages 61-75
  6. Back Matter
    Pages 77-79

About this book


Additive noise is ubiquitous in acoustics environments and can affect the intelligibility and quality of speech signals. Therefore, a so-called noise reduction algorithm is required to mitigate the effect of the noise that is picked up by the microphones. This work proposes a general framework in the time domain for the single and multiple microphone cases, from which it is very convenient to derive, study, and analyze all kind of optimal noise reduction filters. Not only that all known algorithms can be deduced from this approach, shedding more light on how they function, but new ones can be discovered as well.


LCMV filter MDVR filter Wiener filter maximun SNR filter microphone arrays multichannel noise reduction prediction filter single-channel space-time prediction filter speech enhancement time domain tradeoff filter

Authors and affiliations

  • Jacob Benesty
    • 1
  • Jingdong Chen
    • 2
  1. 1., University of QuebecINRS-EMTMontrealCanada
  2. 2.Northwestern Polytechnical UniversityXi'anChina, People's Republic

Bibliographic information