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Optimal Time-Domain Noise Reduction Filters

A Theoretical Study

  • Book
  • © 2011

Overview

Authors:
  1. Jacob Benesty

    1. , University of Quebec, INRS-EMT, Montreal, Canada

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    You can also search for this author in PubMed   Google Scholar

  2. Jingdong Chen

    1. Northwestern Polytechnical University, Xi'an, China, People's Republic

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Proposes a general framework in the time domain for the single and multiple microphone cases
  • All known algorithms can be deduced from this new approach
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-vii
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  2. Introduction

    • Jacob Benesty, Jingdong Chen
    Pages 1-2

  3. Single-Channel Noise Reduction with a Filtering Vector

    • Jacob Benesty, Jingdong Chen
    Pages 3-21

  4. Single-Channel Noise Reduction with a Rectangular Filtering Matrix

    • Jacob Benesty, Jingdong Chen
    Pages 23-41

  5. Multichannel Noise Reduction with a Filtering Vector

    • Jacob Benesty, Jingdong Chen
    Pages 43-59

  6. Multichannel Noise Reduction with a Rectangular Filtering Matrix

    • Jacob Benesty, Jingdong Chen
    Pages 61-75

  7. Back Matter

    Pages 77-79
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Keywords

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.

Reviews

From the reviews:

“The book is devoted to the problem of recovering speech signals that are corrupted by additive noise. … The exposition is excellent. The authors work actively in the domain and recently issued also a book on microphone array signal processing. … the book represents a very useful guide to the noise reduction area for high-level researchers.” (Dumitru Stanomir, Zentralblatt MATH, Vol. 1218, 2011)

Authors and Affiliations

  • , University of Quebec, INRS-EMT, Montreal, Canada

    Jacob Benesty

  • Northwestern Polytechnical University, Xi'an, China, People's Republic

    Jingdong Chen

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