Microphone Array Signal Processing

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Format: Hardcover
Pub. Date: 2008-04-01
Publisher(s): Springer Verlag
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Summary

The main objective of this concise book is to derive and explain the most fundamental algorithms from a strictly broadband (signals and/or processing) viewpoint. Thanks to the approach taken here, new concepts come to light that have great potential.

Table of Contents

Introductionp. 1
Microphone Array Signal Processingp. 1
Organization of the Bookp. 5
Classical Optimal Filteringp. 7
Introductionp. 7
Wiener Filterp. 8
Frost Filterp. 16
Algorithmp. 16
Generalized Sidelobe Canceller Structurep. 17
Application to Linear Interpolationp. 19
Kalman Filterp. 21
A Viable Alternative to the MSEp. 25
Pearson Correlation Coefficientp. 26
Important Relations with the SPCCp. 26
Examples of Optimal Filters Derived from the SPCCp. 29
Conclusionsp. 37
Conventional Beamforming Techniquesp. 39
Introductionp. 39
Problem Descriptionp. 40
Delay-and-Sum Techniquep. 41
Design of a Fixed Beamformerp. 46
Maximum Signal-to-Noise Ratio Filterp. 49
Minimum Variance Distortionless Response Filterp. 52
Approach with a Reference Signalp. 54
Response-Invariant Broadband Beamformersp. 55
Null-Steering Techniquep. 58
Microphone Array Pattern Functionp. 61
First Signal Modelp. 62
Second Signal Modelp. 64
Conclusionsp. 65
On the Use of the LCMV Filter in Room Acoustic Environmentsp. 67
Introductionp. 67
Signal Modelsp. 67
Anechoic Modelp. 68
Reverberant Modelp. 68
Spatio-Temporal Modelp. 69
The LCMV Filter with the Anechoic Modelp. 69
The LCMV Filter with the Reverberant Modelp. 73
The LCMV Filter with the Spatio-Temporal Modelp. 75
Experimental Resultsp. 78
The LCMV Filter in the Frequency Domainp. 81
Conclusionsp. 83
Noise Reduction with Multiple Microphones: a Unified Treatmentp. 85
Introductionp. 85
Signal Model and Problem Descriptionp. 86
Some Useful Definitionsp. 87
Wiener Filterp. 89
Subspace Methodp. 92
Spatio-Temporal Prediction Approachp. 95
Case of Perfectly Coherent Noisep. 97
Adaptive Noise Cancellationp. 99
Kalman Filterp. 100
Simulationsp. 101
Acoustic Environments and Experimental Setupp. 101
Experimental Resultsp. 103
Conclusionsp. 114
Noncausal (Frequency-Domain) Optimal Filtersp. 115
Introductionp. 115
Signal Model and Problem Formulationp. 116
Performance Measuresp. 117
Noncausal Wiener Filterp. 120
Parametric Wiener Filteringp. 124
Generalization to the Multichannel Casep. 126
Signal Modelp. 126
Definitionsp. 128
Multichannel Wiener Filterp. 129
Spatial Maximum SNR Filterp. 132
Minimum Variance Distortionless Response Filterp. 134
Distortionless Multichannel Wiener Filterp. 135
Conclusionsp. 136
Microphone Arrays from a MIMO Perspectivep. 139
Introductionp. 139
Signal Models and Problem Descriptionp. 140
SISO Modelp. 141
SIMO Modelp. 141
MISO Modelp. 142
MIMO Modelp. 143
Problem Descriptionp. 144
Two-Element Microphone Arrayp. 144
Least-Squares Approachp. 145
Frost Algorithmp. 146
Generalized Sidelobe Canceller Structurep. 148
N-Element Microphone Arrayp. 150
Least-Squares and MINT Approachesp. 150
Frost Algorithmp. 152
Generalized Sidelobe Canceller Structurep. 154
Minimum Variance Distortionless Response Approachp. 156
Simulationsp. 156
Acoustic Environments and Experimental Setupp. 156
Conclusionsp. 163
Sequential Separation and Dereverberation: the Two-Stage Approachp. 165
Introductionp. 165
Signal Model and Problem Descriptionp. 165
Source Separationp. 168
2 x 3 MIMO Systemp. 168
M x N MIMO Systemp. 172
Speech Dereverberationp. 175
Direct Inversep. 175
Minimum Mean-Square Error and Least-Squares Methodsp. 177
MINT Methodp. 177
Conclusionsp. 180
Direction-of-Arrival and Time-Difference-of-Arrival Estimationp. 181
Introductionp. 181
Problem Formulation and Signal Modelsp. 184
Single-Source Free-Field Modelp. 184
Multiple-Source Free-Field Modelp. 185
Single-Source Reverberant Modelp. 186
Multiple-Source Reverberant Modelp. 187
Cross-Correlation Methodp. 188
The Family of the Generalized Cross-Correlation Methodsp. 190
Classical Cross-Correlationp. 191
Smoothed Coherence Transformp. 191
Phase Transformp. 192
Spatial Linear Prediction Methodp. 193
Multichannel Cross-Correlation Coefficient Algorithmp. 196
Eigenvector-Based Techniquesp. 200
Narrowband MUSICp. 201
Broadband MUSICp. 203
Minimum Entropy Methodp. 205
Gaussian Source Signalp. 205
Speech Source Signalp. 206
Adaptive Eigenvalue Decomposition Algorithmp. 207
Adaptive Blind Multichannel Identification Based Methodsp. 209
TDOA Estimation of Multiple Sourcesp. 211
Conclusionsp. 215
Unaddressed Problemsp. 217
Introductionp. 217
Speech Source Number Estimationp. 217
Cocktail Party Effect and Blind Source Separationp. 218
Blind MIMO Identificationp. 220
Conclusionsp. 222
Referencesp. 223
Indexp. 237
Table of Contents provided by Ingram. All Rights Reserved.

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