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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
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
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.
Inhaltsangabe
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 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. References. Index.
List of Figures. List of Tables. Preface. Acknowledgments. Abbreviations and Acronyms. PART I: BASICS. 1. Introduction. 2. Acoustic Echo and Noise Control Systems. 3. Fundamentals. PART II: ALGORITHMS. 4. Error Criteria and Cost Functions. 5. Wiener Filter. 6. Linear Prediction. 7. Algorithms for Adaptive Filters. PART III: ACOUSTIC ECHO AND NOISE CONTROL. 8. Traditional Methods for Stabilization of Electro-Acoustic Loops. 9. Echo Cancellation. 10. Residual Echo and Noise Suppression. 11. Beamforming. PART IV: CONTROL AND IMPLEMENTATION ISSUES. 12. System Control - Basic Aspects. 13. Control of Echo Cancellation Systems. 14. Control of Noise and Echo Suppression Systems. 15. Control for Beamforming. 16. Implementation Issues. PART V: OUTLOOK AND APPENDICES. 17. Outlook. Appendix A: Subband Impulse Responses. Appendix B: Filterbank Design. References. Index.
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 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. References. Index.
List of Figures. List of Tables. Preface. Acknowledgments. Abbreviations and Acronyms. PART I: BASICS. 1. Introduction. 2. Acoustic Echo and Noise Control Systems. 3. Fundamentals. PART II: ALGORITHMS. 4. Error Criteria and Cost Functions. 5. Wiener Filter. 6. Linear Prediction. 7. Algorithms for Adaptive Filters. PART III: ACOUSTIC ECHO AND NOISE CONTROL. 8. Traditional Methods for Stabilization of Electro-Acoustic Loops. 9. Echo Cancellation. 10. Residual Echo and Noise Suppression. 11. Beamforming. PART IV: CONTROL AND IMPLEMENTATION ISSUES. 12. System Control - Basic Aspects. 13. Control of Echo Cancellation Systems. 14. Control of Noise and Echo Suppression Systems. 15. Control for Beamforming. 16. Implementation Issues. PART V: OUTLOOK AND APPENDICES. 17. Outlook. Appendix A: Subband Impulse Responses. Appendix B: Filterbank Design. References. Index.
Rezensionen
"This book cannot be praised enough. It doesn't contain everything known and done in the area of acoustic echo cancellation and noise suppression, which would be virtually impossible, since papers on that subject are published daily, and patents number in the hundreds. It does contain, however, far more than the basics, and, above all, something extremely important in the area, which is still more of an art than a science: practical guidance. How to select the algorithms, make them work, tweak them, and control them are all topics covered in the book. All of this is supported by a superb mathematical treatment, and a solid body of reference work...In conclusion, this book is a must have reference for digital signal processing (DSP) designers in multimedia, and perhaps for DSP students, as a golden mine for projects." Computing Reviews.com
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