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Acoustic MIMO Signal Processing

By: Yiteng Huang (Editor), Jacob Benesty (Editor), Jingdong Chen (Editor)

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Hardcover | 6 September 2006

At a Glance

Hardcover
396 Pages

Dimensions(cm)
24.13 x 15.88 x 2.54

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$169.00

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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.

Industry Reviews

From the reviews:

"The book is devoted to the problems of speech acquisition in complex acoustic environment. It is tutorial in nature with a detailed exposition of the latest achievements and state-of-the-art in the field. Open questions and further research direction are also explored. ... The book will be useful for a large audience, ranging from researchers and PhD students, to practicing engineers, either just approaching in the field or already having years of experience." (Tzvetan Semerdjiev, Zentralblatt MATH, Vol. 1106 (8), 2007)

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You Can Find This Book In

Non-Fiction Engineering & Technology Energy Technology & Engineering Electrical Engineering Mathematics Applied Mathematics Computing & I.T.Computer Science Digital Signal Processing (DSP)Other Technologies & Applied Sciences Applied Optics Imaging Systems & Technology

Electronics & Communications Engineering Electronics Engineering Technology in General Engineering in General Communications Engineering & Telecommunications

Introduction	p. 1
Acoustic MIMO Signal Processing	p. 1
Organization of the Book	p. 4
Theory
Acoustic MIMO Systems	p. 9
Signal Models	p. 9
SISO Model	p. 9
SIMO Model	p. 11
MISO Model	p. 12
MIMO Model	p. 12
Characteristics of Acoustic Channels	p. 13
Linearity and Shift-Invariance	p. 14
FIR Representation	p. 14
Time-Varying Channel Impulse Responses	p. 14
Frequency Selectivity	p. 15
Reverberation Time	p. 15
Channel Invertibility and Minimum-Phase Filter	p. 16
Multichannel Diversity and the Common-Zero Problem	p. 18
Sparse Impulse Response	p. 19
Measurement and Simulation of MIMO Acoustic Systems	p. 21
Direct Measurement of Acoustic Impulse Responses	p. 22
Image Model for Acoustic Impulse Response Simulation	p. 24
Summary	p. 29
Wiener Filter and Basic Adaptive Algorithms	p. 31
Introduction	p. 31
Wiener Filter	p. 32
Impulse Response Tail Effect	p. 34
Condition Number	p. 35
Decomposition of the Correlation Matrix	p. 36
Condition Number with the Frobenius Norm	p. 37
Fast Computation of the Condition Number	p. 39
Basic Adaptive Algorithms	p. 41
Deterministic Algorithm	p. 41
Stochastic Algorithm	p. 44
Sign Algorithms	p. 46
MIMO Wiener Filter	p. 48
Numerical Examples	p. 53
Summary	p. 56
Sparse Adaptive Filters	p. 59
Introduction	p. 59
Notation and Definitions	p. 60
The NLMS, PNLMS, and IPNLMS Algorithms	p. 61
Universal Criterion	p. 64
Linear Update	p. 65
Non-Linear Update	p. 67
Exponentiated Gradient Algorithms	p. 68
The EG Algorithm for Positive Weights	p. 68
The EG[plusminus] Algorithm for Positive and Negative Weights	p. 69
The Exponentiated RLS (ERLS) Algorithm	p. 71
The Lambert W Function Based Gradient Algorithm	p. 72
Some Important Links Among Algorithms	p. 74
Link Between NLMS and EG[plusminus] Algorithms	p. 74
Link Between IPNLMS and EG[plusminus] Algorithms	p. 75
Link Between LWG and EG[plusminus] Algorithms	p. 77
Numerical Examples	p. 78
Summary	p. 83
Frequency-Domain Adaptive Filters	p. 85
Introduction	p. 85
Derivation of SISO FD Adaptive Algorithms	p. 86
Criterion	p. 86
Normal Equations	p. 89
Adaptive Algorithms	p. 91
Convergence Analysis	p. 93
Approximation and Special Cases	p. 96
Approximation	p. 96
Special Cases	p. 98
FD Affine Projection Algorithm	p. 99
Generalization to the MISO System Case	p. 101
Numerical Examples	p. 104
Summary	p. 106
Blind Identification of Acoustic MIMO Systems	p. 109
Introduction	p. 109
Blind SIMO Identification	p. 111
Identifiability and Principle	p. 111
Constrained Time-Domain Multichannel LMS and Newton Algorithms	p. 113
Unconstrained Multichannel LMS Algorithm with Optimal Step-Size Control	p. 120
Frequency-Domain Unnormalized and Normalized Multichannel LMS Algorithms	p. 122
Adaptive Multichannel Exponentiated Gradient Algorithm	p. 135
Numerical Examples	p. 141
Blind MIMO Identification	p. 147
Problem Formulation and Background Review	p. 148
Memoryless MIMO System with White Inputs	p. 151
Memoryless MIMO System with Colored Inputs	p. 152
Convolutive MIMO Systems with White Inputs	p. 154
Gonvolutive MIMO Systems with Colored Inputs	p. 156
Frequency-Domain Blind Identification of Convolutive MIMO Systems and Permutation Inconsistency	p. 157
Convolutive MIMO Systems with White but Quasistationary Inputs	p. 158
Summary	p. 160
Appendix. Blind SIMO Identification: A Derivation Directly from the Covariance Matrices of the System Outputs	p. 161
Separation and Suppression of Co-Channel and Temporal Interference	p. 169
Introduction	p. 169
Separating Co-Ghannel and Temporal Interference	p. 170
Example: Conversion of a 2 x 3 MIMO System to Two SIMO Systems	p. 170
Generalization to M x N MIMO Systems with M [Greater than] 2 and M [Less than] N	p. 174
Suppressing Temporal Interference	p. 177
Direct Inverse (Zero-Forcing) Equalizer	p. 178
MMSE Equalizer	p. 179
MINT Equalizers	p. 179
Summary	p. 182
Applications
Acoustic Echo Cancellation and Audio Bridging	p. 185
Introduction	p. 185
Network Echo Problem	p. 186
Single-Channel Acoustic Echo Cancellation	p. 188
Multichannel Acoustic Echo Cancellation	p. 190
Multi versus Mono	p. 190
Multichannel Identification and the Nonuniqueness Problem	p. 192
Impulse Response Tail Effect	p. 194
Some Different Solutions for Decorrelation	p. 195
Hybrid Mono/Stereo Acoustic Echo Canceler	p. 199
Double-Talk Detection	p. 200
Basics	p. 200
Double-Talk Detection Algorithms	p. 202
Performance Evaluation of DTDs	p. 206
Audio Bridging	p. 206
Principle	p. 206
Interchannel Differences for Synthesizing Stereo Sound	p. 209
Choice of Interchannel Differences for Stereo AEC	p. 211
Summary	p. 212
Time Delay Estimation and Acoustic Source Localization	p. 215
Time Delay Estimation	p. 215
Cross-Correlation Method	p. 217
Magnitude-Difference Method	p. 219
Maximum Likelihood Method	p. 220
Generalized Cross-Correlation Method	p. 223
Adaptive Eigenvalue Decomposition Algorithm	p. 226
Multichannel Cross-Correlation Algorithm	p. 227
Forward Spatial Linear Prediction	p. 228
Backward Spatial Linear Prediction	p. 230
Spatial Linear Interpolation	p. 231
Time Delay Estimation Using Spatial Linear Prediction	p. 232
Spatial Correlation Matrix and Its Properties	p. 233
Multichannel Cross-Correlation Coefficient	p. 235
Time Delay Estimation Using MCCC	p. 235
Adaptive Multichannel Time Delay Estimation	p. 236
Acoustic Source Localization	p. 238
Measurement Model and Cramer-Rao Lower Bound	p. 239
Algorithm Overview	p. 242
Maximum Likelihood Estimator	p. 243
Least-Squares Estimators	p. 244
Least-Squares Error Criteria	p. 245
Spherical Intersection (SX) Estimator	p. 247
Spherical Interpolation (SI) Estimator	p. 247
Linear-Correction Least-Squares Estimator	p. 248
Example System Implementation	p. 254
Summary	p. 259
Speech Enhancement and Noise Reduction	p. 261
Introduction	p. 261
Noise-Reduction and Speech-Distortion Measures	p. 263
Noise-Reduction Factor and Noise-Reduction Gain Function	p. 204
Speech-Distortion Index and Attenuation Frequency Distortion	p. 265
Signal-to-Noise Ratio	p. 265
Log-Spectral Distance	p. 266
Itakura Distance	p. 266
Itakura-Saito Distance	p. 268
Mean Opinion Score	p. 269
Single-Channel Noise-Reduction Algorithms: a Brief Overview	p. 269
Time-Domain Wiener Filter	p. 270
Estimation of the Clean Speech Samples	p. 270
Estimation of the Noise Samples	p. 273
Noise Reduction versus Speech Distortion	p. 274
A Priori SNR versus a Posteriori SNR	p. 277
Bounds for Noise Reduction and Speech Distortion	p. 281
Particular Case: White Gaussian Noise	p. 282
A Suboptimal Filter	p. 283
Frequency-Domain Wiener Filter	p. 287
Estimation of the Clean Speech Spectrum	p. 287
A Priori SNR versus a Posteriori SNR	p. 290
Noise Reduction Through Spectral Magnitude Restoration	p. 292
Spectral Subtraction	p. 293
Estimation of the Spectral Magnitude of the Clean Speech	p. 293
Estimation of the Noise Spectrum	p. 295
Relationship Between Spectral Subtraction and Wiener Filtering	p. 296
Estimation of the Wiener Gain Filter	p. 299
Simulations	p. 300
Adaptive Noise Cancellation	p. 302
Estimation of the Clean Speech	p. 302
Ideal Noise Cancellation Performance	p. 304
Signal Cancellation Problem	p. 305
Simulations	p. 307
Noise Reduction with a Microphone Array	p. 309
Delay-and-Sum Algorithm	p. 310
Linearly Constrained Algorithms	p. 312
Summary	p. 317
Source Separation and Speech Dereverberation	p. 319
Cocktail Party Effect	p. 319
Source Separation	p. 323
Microphone Array Beamforming	p. 323
Independent Component Analysis and Blind Source Separation	p. 331
A Synergistic Solution to Source Separation and Speech Dereverberation	p. 341
Summary	p. 350
References	p. 353
Index	p. 373
Table of Contents provided by Ingram. All Rights Reserved.

Acoustic MIMO Signal Processing

At a Glance

Hardcover

Industry Reviews

Shipping

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