
Microphone Array Signal Processing
by Benesty, Jacob; Chen, Jingdong; Huang, Yiteng-
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Summary
Table of Contents
Introduction | p. 1 |
Microphone Array Signal Processing | p. 1 |
Organization of the Book | p. 5 |
Classical Optimal Filtering | p. 7 |
Introduction | p. 7 |
Wiener Filter | p. 8 |
Frost Filter | p. 16 |
Algorithm | p. 16 |
Generalized Sidelobe Canceller Structure | p. 17 |
Application to Linear Interpolation | p. 19 |
Kalman Filter | p. 21 |
A Viable Alternative to the MSE | p. 25 |
Pearson Correlation Coefficient | p. 26 |
Important Relations with the SPCC | p. 26 |
Examples of Optimal Filters Derived from the SPCC | p. 29 |
Conclusions | p. 37 |
Conventional Beamforming Techniques | p. 39 |
Introduction | p. 39 |
Problem Description | p. 40 |
Delay-and-Sum Technique | p. 41 |
Design of a Fixed Beamformer | p. 46 |
Maximum Signal-to-Noise Ratio Filter | p. 49 |
Minimum Variance Distortionless Response Filter | p. 52 |
Approach with a Reference Signal | p. 54 |
Response-Invariant Broadband Beamformers | p. 55 |
Null-Steering Technique | p. 58 |
Microphone Array Pattern Function | p. 61 |
First Signal Model | p. 62 |
Second Signal Model | p. 64 |
Conclusions | p. 65 |
On the Use of the LCMV Filter in Room Acoustic Environments | p. 67 |
Introduction | p. 67 |
Signal Models | p. 67 |
Anechoic Model | p. 68 |
Reverberant Model | p. 68 |
Spatio-Temporal Model | p. 69 |
The LCMV Filter with the Anechoic Model | p. 69 |
The LCMV Filter with the Reverberant Model | p. 73 |
The LCMV Filter with the Spatio-Temporal Model | p. 75 |
Experimental Results | p. 78 |
The LCMV Filter in the Frequency Domain | p. 81 |
Conclusions | p. 83 |
Noise Reduction with Multiple Microphones: a Unified Treatment | p. 85 |
Introduction | p. 85 |
Signal Model and Problem Description | p. 86 |
Some Useful Definitions | p. 87 |
Wiener Filter | p. 89 |
Subspace Method | p. 92 |
Spatio-Temporal Prediction Approach | p. 95 |
Case of Perfectly Coherent Noise | p. 97 |
Adaptive Noise Cancellation | p. 99 |
Kalman Filter | p. 100 |
Simulations | p. 101 |
Acoustic Environments and Experimental Setup | p. 101 |
Experimental Results | p. 103 |
Conclusions | p. 114 |
Noncausal (Frequency-Domain) Optimal Filters | p. 115 |
Introduction | p. 115 |
Signal Model and Problem Formulation | p. 116 |
Performance Measures | p. 117 |
Noncausal Wiener Filter | p. 120 |
Parametric Wiener Filtering | p. 124 |
Generalization to the Multichannel Case | p. 126 |
Signal Model | p. 126 |
Definitions | p. 128 |
Multichannel Wiener Filter | p. 129 |
Spatial Maximum SNR Filter | p. 132 |
Minimum Variance Distortionless Response Filter | p. 134 |
Distortionless Multichannel Wiener Filter | p. 135 |
Conclusions | p. 136 |
Microphone Arrays from a MIMO Perspective | p. 139 |
Introduction | p. 139 |
Signal Models and Problem Description | p. 140 |
SISO Model | p. 141 |
SIMO Model | p. 141 |
MISO Model | p. 142 |
MIMO Model | p. 143 |
Problem Description | p. 144 |
Two-Element Microphone Array | p. 144 |
Least-Squares Approach | p. 145 |
Frost Algorithm | p. 146 |
Generalized Sidelobe Canceller Structure | p. 148 |
N-Element Microphone Array | p. 150 |
Least-Squares and MINT Approaches | p. 150 |
Frost Algorithm | p. 152 |
Generalized Sidelobe Canceller Structure | p. 154 |
Minimum Variance Distortionless Response Approach | p. 156 |
Simulations | p. 156 |
Acoustic Environments and Experimental Setup | p. 156 |
Conclusions | p. 163 |
Sequential Separation and Dereverberation: the Two-Stage Approach | p. 165 |
Introduction | p. 165 |
Signal Model and Problem Description | p. 165 |
Source Separation | p. 168 |
2 x 3 MIMO System | p. 168 |
M x N MIMO System | p. 172 |
Speech Dereverberation | p. 175 |
Direct Inverse | p. 175 |
Minimum Mean-Square Error and Least-Squares Methods | p. 177 |
MINT Method | p. 177 |
Conclusions | p. 180 |
Direction-of-Arrival and Time-Difference-of-Arrival Estimation | p. 181 |
Introduction | p. 181 |
Problem Formulation and Signal Models | p. 184 |
Single-Source Free-Field Model | p. 184 |
Multiple-Source Free-Field Model | p. 185 |
Single-Source Reverberant Model | p. 186 |
Multiple-Source Reverberant Model | p. 187 |
Cross-Correlation Method | p. 188 |
The Family of the Generalized Cross-Correlation Methods | p. 190 |
Classical Cross-Correlation | p. 191 |
Smoothed Coherence Transform | p. 191 |
Phase Transform | p. 192 |
Spatial Linear Prediction Method | p. 193 |
Multichannel Cross-Correlation Coefficient Algorithm | p. 196 |
Eigenvector-Based Techniques | p. 200 |
Narrowband MUSIC | p. 201 |
Broadband MUSIC | p. 203 |
Minimum Entropy Method | p. 205 |
Gaussian Source Signal | p. 205 |
Speech Source Signal | p. 206 |
Adaptive Eigenvalue Decomposition Algorithm | p. 207 |
Adaptive Blind Multichannel Identification Based Methods | p. 209 |
TDOA Estimation of Multiple Sources | p. 211 |
Conclusions | p. 215 |
Unaddressed Problems | p. 217 |
Introduction | p. 217 |
Speech Source Number Estimation | p. 217 |
Cocktail Party Effect and Blind Source Separation | p. 218 |
Blind MIMO Identification | p. 220 |
Conclusions | p. 222 |
References | p. 223 |
Index | p. 237 |
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