Huang / Benesty / Chen Acoustic MIMO Signal Processing

2006
ISBN: 978-0-387-27676-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 378 Seiten, eBook

Reihe: Signals and Communication Technology

Telecommunication systems and human-machine interfaces start employing multiple microphones and loudspeakers in order to make conversations and interactions more lifelike, hence more efficient. This development gives rise to a variety of acoustic signal processing problems under multiple-input multiple-output (MIMO) scenarios, encompassing distant speech acquisition, sound source localization and tracking, echo and noise control, source separation and speech dereverberation, and many others. Acoustic MIMO Signal Processing is divided into two major parts - the theoretical and the practical. The authors begin by introducing an acoustic MIMO paradigm, establishing the fundamental of the field, and linking acoustic MIMO signal processing with the concepts of classical signal processing and communication theories in terms of system identification, equalization, and adaptive algorithms. In the second part of the book, a novel and penetrating analysis of aforementioned acoustic applications is carried out in the paradigm to reinforce the fundamental concepts of acoustic MIMO signal processing.Acoustic MIMO Signal Processing is a timely and important professional reference for researchers and practitioners from universities and a wide range of industries. It is also an excellent text for graduate students who are interested in this exciting field.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Huang, Yiteng

Benesty, Jacob

Chen, Jingdong

Inhaltsverzeichnis

1;Contents;6
2;List of Tables;12
3;Preface;14
4;Introduction;16
4.1;1.1 Acoustic MIMO Signal Processing;16
4.2;1.2 Organization of the Book;19
5;Theory;22
5.1;Acoustic MIMO Systems;23
5.1.1;2.1 Signal Models;23
5.1.2;2.2 Characteristics of Acoustic Channels;27
5.1.3;2.3 Measurement and Simulation of MIMO Acoustic Systems;35
5.1.4;2.4 Summary;43
5.2;Wiener Filter and Basic Adaptive Algorithms;45
5.2.1;3.1 Introduction;45
5.2.2;3.2 Wiener Filter;46
5.2.3;3.3 Impulse Response Tail Effect;48
5.2.4;3.4 Condition Number;49
5.2.5;3.5 Basic Adaptive Algorithms;55
5.2.6;3.6 MIMO Wiener Filter;62
5.2.7;3.7 Numerical Examples;67
5.2.8;3.8 Summary;70
5.3;Sparse Adaptive Filters;72
5.3.1;4.1 Introduction;72
5.3.2;4.2 Notation and Definitions;73
5.3.3;4.3 The NLMS, PNLMS, and IPNLMS Algorithms;74
5.3.4;4.4 Universal Criterion;77
5.3.5;4.5 Exponentiated Gradient Algorithms;81
5.3.6;4.6 The Lambert W Function Based Gradient Algorithm;85
5.3.7;4.7 Some Important Links Among Algorithms;87
5.3.8;4.8 Numerical Examples;91
5.3.9;4.9 Summary;96
5.4;Prequency- Domain Adaptive Filters;98
5.4.1;5.1 Introduction;98
5.4.2;5.2 Derivation of SISO FD Adaptive Algorithms;99
5.4.3;5.3 Approximation and Special Cases;109
5.4.4;5.4 FD Affine Projection Algorithm;112
5.4.5;5.5 Generalization to the MISO System Case;114
5.4.6;5.6 Numerical Examples;117
5.4.7;5.7 Summary;119
5.5;Blind Identification of Acoustic MIMO Systems;121
5.5.1;6.1 Introduction;121
5.5.2;6.2 Blind SIMO Identification;123
5.5.3;6.3 Blind MIMO Identification;159
5.5.4;6.4 Summary;172
5.5.5;6.5 Appendix. Blind SIMO Identification: A Derivation Directly From the Covariance Matrices of the System Outputs;173
5.6;Separation and Suppression of Co- Channel and Temporal Interference;180
5.6.1;7.1 Introduction;180
5.6.2;7.2 Separating Co- Channel and Temporal Interference;181
5.6.3;7.3 Suppressing Temporal Interference;188
5.6.4;7.4 Summary;193
6;Applications;194
6.1;Acoustic Echo Cancellation and Audio Bridging;195
6.1.1;8.1 Introduction;195
6.1.2;8.2 Network Echo Problem;196
6.1.3;8.3 Single- Channel Acoustic Echo Cancellation;198
6.1.4;8.4 Multichannel Acoustic Echo Cancellation;200
6.1.5;8.5 Hybrid Mono/ Stereo Acoustic Echo Canceler;209
6.1.6;8.6 Double- Talk Detection;210
6.1.7;8.7 Audio Bridging;216
6.1.8;8.8 Summary;222
6.2;Time Delay Estimation and Acoustic Source Localization;224
6.2.1;9.1 Time Delay Estimation;224
6.2.2;9.2 Cross- Correlation Method;226
6.2.3;9.3 Magnitude- Difference Method;228
6.2.4;9.4 Maximum Likelihood Method;229
6.2.5;9.5 Generalized Cross- Correlation Method;232
6.2.6;9.6 Adaptive Eigenvalue Decomposition Algorithm;235
6.2.7;9.7 Multichannel Cross- Correlation Algorithm;236
6.2.8;9.8 Adaptive Multichannel Time Delay Estimation;245
6.2.9;9.9 Acoustic Source Localization;247
6.2.10;9.10 Measurement Model and Cramer- Rao Lower Bound;248
6.2.11;9.11 Algorithm Overview;251
6.2.12;9.12 Maximum Likelihood Estimator;252
6.2.13;9.13 Least- Squares Estimators;253
6.2.14;9.14 Example System Implementation;263
6.2.15;9.15 Summary;268
6.3;Speech Enhancement and Noise Reduction;269
6.3.1;10.1 Introduction;269
6.3.2;10.2 Noise- Reduction and Speech- Distortion Measures;271
6.3.3;10.3 Single- Channel Noise- Reduction Algorithms: a Brief Overview;277
6.3.4;10.4 Time- Domain Wiener Filter;278
6.3.5;10.5 Frequency- Domain Wiener Filter;295
6.3.6;10.6 Noise Reduction Through Spectral Magnitude Restoration;300
6.3.7;10.7 Spectral Subtraction;301
6.3.8;10.8 Adaptive Noise Cancellation;310
6.3.9;10.9 Noise Reduction with a Microphone Array;317
6.3.10;10.10 Summary;325
6.4;Source Separation and Speech Dereverberation;326
6.4.1;11.1 Cocktail Party Effect;326
6.4.2;11.2 Source Separation;330
6.4.3;11.3 A Synergistic Solution to Source Separation and Speech Dereverberation;348
6.4.4;11.4 Summary;357
7;References;359
8;Index;378