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Other titles in the Adaptive and Learning Systems for Signal Processing, Communications and Control series:

Acoustic Echo & Noise Control a Practica

by

Acoustic Echo & Noise Control a Practica Cover

 

Synopses & Reviews

Publisher Comments:

Essential theory and proven techniques for acoustic echo and noise suppression

Today’s voice communication systems, with their increasing demand for user comfort, necessitate a growing focus on acoustic noise suppression and echo reduction. Drawing on the results of a twenty-year career with the Signal Theory Group at Darmstadt University of Technology, Darmstadt, Germany, Acoustic Echo and Noise Control: A Practical Approach addresses proven methods for suppressing acoustic echoes and noise in various sound systems, from hands-free telephones to video conferencing systems, hearing aids, and speech recognition systems.

With emphasis on single-channel systems, the authors, both recognized experts in the field, deliver a combination of theoretical research and practical solutions to acoustical problems across a broad range of industries. In addition to presenting a detailed description of practical methods for controlling acoustic echoes and noise, they also develop a theory for optimal control parameters and present practical estimation and approximation methods.

Some of the topics covered include:

  • Basic algorithms for filtering, linear prediction, and adaptation of filter coefficients
  • Application of these algorithms to acoustic echo cancellation and residual echo and noise suppression
  • Estimation of nonmeasurable quantities necessary to control algorithms
  • Devising control structures based on these quantities

Requiring only a basic knowledge of linear systems theory and digital signal processing, this text offers an ideal resource for students, researchers, and systems engineers seeking to familiarize themselves with the latest developments and practical applications in this fascinating field.

Book News Annotation:

Drawing on the work of the Signal Theory Group of Darmstadt U. of Technology where H<:a>nsler teaches electrical engineering and a private audio research group (in Ulm, Germany) with which Schmidt is affiliated, this text covers basic acoustic principles and algorithms and their applications to the growing need for echo/ noise control. Single-channel rather than multi-channel systems are emphasized. Undergraduate-level familiarity with signal processing and linear system theory is assumed. Includes technical appendices.
Annotation 2004 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

Develops a statistical theory for optimal control parameters and presents practical estimation and approximation methods

Synopsis:

Authors are well known and highly recognized by the "acoustic echo and noise community."

Presents a detailed description of practical methods to control echo and noise

Develops a statistical theory for optimal control parameters and presents practical estimation and approximation methods

About the Author

EBERHARD HÄNSLER, Dr.-Ing., is Professor of Electrical Engineering at the Darmstadt University of Technology, Darmstadt, Germany.

GERHARD SCHMIDT, Dr.-Ing., is a Research Engineer at Temic Speech Dialog Systems in Ulm, Germany.

Table of Contents

List of Figures.

List of Tables.

Preface.

Acknowledgments.

Abbreviations and Acronyms.

Part I: Basics.

1 Introduction.

1.1 Some History.

1.2 Overview of the Book.

2 Acoustic Echo and Noise Control Systems.

2.1 Notation.

2.2 Applications.

3 Fundamentals.

3.1 Signals.

3.2 Acoustic Echoes.

3.3 Standards.

Part II: Algorithms.

4 Error Criteria and Cost Functions.

4.1 Error Criteria for Adaptive Filters.

4.2 Error Criteria for Filter Design.

4.3 Error Criteria for Speech Processing and Control Purposes.

5 Wiener Filter.

5.1 Time-Domain Solution.

5.2 Frequency-Domain Solution.

6 Linear Prediction.

6.1 Normal Equations.

6.2 Levinson{Durbin Recursion.

7 Algorithms for Adaptive Filters.

7.1 The Normalized Least Mean Square Algorithm.

7.2 The Affine Projection Algorithm.

7.3 The Recursive Least Squares Algorithm.

7.4 The Kalman Algorithm.

Part III: Acoustic Echo and Noise Control.

8 Traditional Methods for Stabilization of Electroacoustic Loops.

8.1 Adaptive Line Enhancement.

8.2 Frequency Shift.

8.3 Controlled Attenuation.

9 Echo Cancellation.

9.1 Processing Structures.

9.2 Stereophonic and Multichannel Echo Cancellation.

10 Residual Echo and Noise Suppression.

10.1 Basics.

10.2 Suppression of Residual Echoes.

10.3 Suppression of Background Noise.

10.4 Combining Background Noise and Residual Echo Suppression.

11 Beamforming.

11.1 Basics.

11.2 Characteristics of Microphone Arrays.

11.3 Fixed Beamforming.

11.4 Adaptive Beamforming.

Part IV: Control and Implementation Issues.

12 System Control—Basic Aspects.

12.1 Convergence versus Divergence Speed.

12.2 System Levels for Control Design.

13 Control of Echo Cancellation Systems.

13.1 Pseudooptimal Control Parameters for the NLMS Algorithm.

13.2 Pseudooptimal Control Parameters for the Affine Projection Algorithm.

13.3 Summary of Pseudooptimal Control Parameters.

13.4 Detection and Estimation Methods.

13.5 Detector Overview and Combined Control Methods.

14 Control of Noise and Echo Suppression Systems.

14.1 Estimation of Spectral Power Density of Background Noise.

14.2 Musical Noise.

14.3 Control of Filter Characteristics.

15 Control for Beamforming.

15.1 Practical Problems.

15.2 Stepsize Control.

16 Implementation Issues.

16.1 Quantization Errors.

16.2 Number Representation Errors.

16.3 Arithmetical Errors.

16.4 Fixed Point versus Floating Point.

16.5 Quantization of Filter Taps.

Part V: Outlook and Appendixes.

17 Outlook.

Appendix A: Subband Impulse Responses.

A.1 Consequences for Subband Echo Cancellation.

A.2 Transformation.

A.3 Concluding Remarks.

Appendix B: Filterbank Design.

B.1 Conditions for Approximately Perfect Reconstruction.

B.2 Filter Design Using a Product Approach.

B.3 Design of Prototype Lowpass Filters.

B.4 Analysis of Prototype Filters and the Filterbank System.

References.

Index.

Product Details

ISBN:
9780471453468
Author:
Hansler, Eberhard
Publisher:
IEEE Press
Author:
228
Author:
Haensler, E.
Author:
Eberhard H
Author:
H
Author:
nsler, E.
Author:
Hansler, E.
Author:
nsler
Author:
&
Author:
He
Author:
nsler, Eberhard
Author:
Schmidt, Gerhard
Location:
Hoboken, NJ
Subject:
Acoustical engineering
Subject:
Echo suppression
Subject:
Waves & Wave Mechanics
Subject:
Telecommunications
Subject:
General
Subject:
Signal processing
Subject:
Physics-General
Copyright:
Edition Description:
WOL online Book (not BRO)
Series:
Adaptive and Learning Systems for Signal Processing, Communications and Control Series
Series Volume:
40
Publication Date:
May 2004
Binding:
HARDCOVER
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Y
Pages:
444
Dimensions:
9.27x6.48x1.08 in. 1.73 lbs.

Related Subjects

Arts and Entertainment » Architecture » General
Engineering » Communications » Telephony
Engineering » Engineering » General Engineering
Science and Mathematics » Physics » General

Acoustic Echo & Noise Control a Practica New Hardcover
0 stars - 0 reviews
$156.50 In Stock
Product details 444 pages IEEE Press - English 9780471453468 Reviews:
"Synopsis" by , Develops a statistical theory for optimal control parameters and presents practical estimation and approximation methods
"Synopsis" by , Authors are well known and highly recognized by the "acoustic echo and noise community."

Presents a detailed description of practical methods to control echo and noise

Develops a statistical theory for optimal control parameters and presents practical estimation and approximation methods

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