Acoustic Echo and Noise Control: A Practical Approach / Edition 1

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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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Editorial Reviews

From the Publisher
"This book cannot be praised enough...a must have reference for digital signal processing designers…as a golden mine for projects…" (Computing, March 7, 2005)
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Product Details

Meet the Author

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

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

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Table of Contents

List of Figures.

List of Tables.



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 ControlPurposes.

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 ofElectroacoustic 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 EchoSuppression.

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 NLMSAlgorithm.

13.2 Pseudooptimal Control Parameters for the Affine ProjectionAlgorithm.

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 SuppressionSystems.

14.1 Estimation of Spectral Power Density of BackgroundNoise.

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.



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