Real-time Adaptive Concepts in Acoustics

Blind Signal Separation and Multichannel Echo Cancellation

  • Daniel W. E. Schobben

Table of contents

  1. Front Matter
    Pages i-xii
  2. Real-Time Adaptive Concepts in Acoustics: An Introduction

    1. Front Matter
      Pages 1-1
    2. Daniel W. E. Schobben
      Pages 3-14
    3. Daniel W. E. Schobben
      Pages 15-28
    4. Daniel W. E. Schobben
      Pages 29-44
  3. Acoustic Echo Cancellation

    1. Front Matter
      Pages 45-45
    2. Daniel W. E. Schobben
      Pages 47-57
    3. Daniel W. E. Schobben
      Pages 59-71
  4. Blind Signal Separation

    1. Front Matter
      Pages 73-73
    2. Daniel W. E. Schobben
      Pages 75-86
    3. Daniel W. E. Schobben
      Pages 87-106
    4. Daniel W. E. Schobben
      Pages 107-113
    5. Daniel W. E. Schobben
      Pages 115-124
    6. Daniel W. E. Schobben
      Pages 125-128
  5. Back Matter
    Pages 129-160

About this book


Blind Signal Separation (BSS) deals with recovering (filtered versions of) source signals from an observed mixture thereof. The term `blind' relates to the fact that there are no reference signals for the source signals and also that the mixing system is unknown. This book presents a new method for blind signal separation, which is developed to work on microphone signals.
Acoustic Echo Cancellation (AEC) is a well-known technique to suppress the echo that a microphone picks up from a loudspeaker in the same room. Such acoustic feedback occurs for example in hands-free telephony and can lead to a perceived loud tone. For an application such as a voice-controlled television, a stereo AEC is required to suppress the contribution of the stereo loudspeaker setup. A generalized AEC is presented that is suited for multi-channel operation.
New algorithms for Blind Signal Separation and multi-channel Acoustic Echo Cancellation are presented. A background is given in array signal processing methods, adaptive filter theory, and fast filtering in the frequency domain.
The included CD-ROM can be played using any compact disc player to play the simulation results that are described in the text. When inserted into a computer, it furthermore gives Matlab implementations of the new algorithms along with audio data with which to experiment. This makes the book suited to researchers, engineers, and university students, who want to get acquainted with these emerging fields.


Adaptive Filter Matlab Signal acoustics blind signal separation blind source separation computer fast Fourier transform (FFT) filter filtering filters signal processing simulation

Authors and affiliations

  • Daniel W. E. Schobben
    • 1
  1. 1.Philips Research LaboratoriesUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 2001
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-3857-7
  • Online ISBN 978-94-010-0812-9
  • Buy this book on publisher's site
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