Acoustic MIMO signal processing:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2006
|
| Schriftenreihe: | Signals and communication technology
|
| Schlagworte: | |
| Online-Zugang: | Beschreibung für Leser Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. [353] - 371 |
| Beschreibung: | XIV, 378 S. Ill., graph. Darst. 235 mm x 155 mm |
| ISBN: | 9783540376309 3540376305 |
Internformat
MARC
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| 100 | 1 | |a Huang, Yiteng |d 1972- |e Verfasser |0 (DE-588)132532417 |4 aut | |
| 245 | 1 | 0 | |a Acoustic MIMO signal processing |c Yiteng Huang ; Jacob Benesty ; Jingdong Chen |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2006 | |
| 300 | |a XIV, 378 S. |b Ill., graph. Darst. |c 235 mm x 155 mm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Signals and communication technology | |
| 500 | |a Literaturverz. S. [353] - 371 | ||
| 650 | 4 | |a Mathematik | |
| 650 | 4 | |a MIMO systems | |
| 650 | 4 | |a Signal processing |x Mathematics | |
| 650 | 4 | |a Wireless communication systems | |
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Datensatz im Suchindex
| _version_ | 1805088493531037696 |
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| adam_text |
IMAGE 1
YITENG HUANG * JACOB BENESTY * JINGDONG CHEN
ACOUSTIC MIMO
SIGNAL PROCESSING
WITH 71 FIGURES
OE SPRINGER
IMAGE 2
CONTENTS
1 INTRODUCTION 1
1.1 ACOUSTIC MIMO SIGNAL PROCESSING 1
1.2 ORGANIZATION OF THE BOOK 4
PART I THEORY
2 ACOUSTIC MIMO SYSTEMS 9
2.1 SIGNAL MODELS 9
2.1.1 SISO MODEL 9
2.1.2 SIMO MODEL 11
2.1.3 MISO MODEL 12
2.1.4 MIMO MODEL 12
2.2 CHARACTERISTICS OF ACOUSTIC CHANNELS 13
2.2.1 LINEARITY AND SHIFT-INVARIANCE 14
2.2.2 FIR REPRESENTATION 14
2.2.3 TIME-VARYING CHANNEL IMPULSE RESPONSES 14
2.2.4 FREQUENCY SELECTIVITY 15
2.2.5 REVERBERATION TIME 15
2.2.6 CHANNEL INVERTIBILITY AND MINIMUM-PHASE FILTER 16
2.2.7 MULTICHANNEL DIVERSITY AND THE COMMON-ZERO PROBLEM 18 2.2.8 SPARSE
IMPULSE RESPONSE 19
2.3 MEASUREMENT AND SIMULATION OF MIMO ACOUSTIC SYSTEMS 21
2.3.1 DIRECT MEASUREMENT OF ACOUSTIC IMPULSE RESPONSES . . . 22 2.3.2
IMAGE MODEL FOR ACOUSTIC IMPULSE RESPONSE SIMULATION 24 2.4 SUMMARY 29
IMAGE 3
VII CONTENTS
3 WIENER FILTER AND BASIC ADAPTIVE ALGORITHMS 31
3.1 INTRODUCTION 31
3.2 WIENER FILTER 32
3.3 IMPULSE RESPONSE TAIL EFFECT 34
3.4 CONDITION NUMBER 35
3.4.1 DECOMPOSITION OF THE CORRELATION MATRIX 36
3.4.2 CONDITION NUMBER WITH THE FROBENIUS NORM 37
3.4.3 FAST COMPUTATION OF THE CONDITION NUMBER 39
3.5 BASIC ADAPTIVE ALGORITHMS 41
3.5.1 DETERMINISTIC ALGORITHM 41
3.5.2 STOCHASTIC ALGORITHM 44
3.5.3 SIGN ALGORITHMS 46
3.6 MIMO WIENER FILTER 48
3.7 NUMERICAL EXAMPLES 53
3.8 SUMMARY 56
4 SPARSE ADAPTIVE FILTERS 59
4.1 INTRODUCTION 59
4.2 NOTATION AND DEFINITIONS 60
4.3 THE NLMS, PNLMS, AND IPNLMS ALGORITHMS 61
4.4 UNIVERSAL CRITERION 64
4.4.1 LINEAR UPDATE 65
4.4.2 NON-LINEAR UPDATE 67
4.5 EXPONENTIATED GRADIENT ALGORITHMS 68
4.5.1 THE EG ALGORITHM FOR POSITIVE WEIGHTS 68
4.5.2 THE E G ALGORITHM FOR POSITIVE AND NEGATIVE WEIGHTS 69 4.5.3 THE
EXPONENTIATED RLS (ERLS) ALGORITHM 71
4.6 THE LAMBERT W FUNCTION BASED GRADIENT ALGORITHM 72
4.7 SOME IMPORTANT LINKS AMONG ALGORITHMS 74
4.7.1 LINK BETWEEN NLMS AND E G ALGORITHMS 74
4.7.2 LINK BETWEEN IPNLMS AND E G ALGORITHMS 75
4.7.3 LINK BETWEEN LWG AND E G ALGORITHMS 77
4.8 NUMERICAL EXAMPLES 78
4.9 SUMMARY 83
5 FREQUENCY-DOMAIN ADAPTIVE FILTERS 85
5.1 INTRODUCTION 85
5.2 DERIVATION OF SISO FD ADAPTIVE ALGORITHMS 86
5.2.1 CRITERION 86
5.2.2 NORMAL EQUATIONS 89
5.2.3 ADAPTIVE ALGORITHMS 91
5.2.4 CONVERGENCE ANALYSIS 93
5.3 APPROXIMATION AND SPECIAL CASES 96
5.3.1 APPROXIMATION 96
5.3.2 SPECIAL CASES 98
IMAGE 4
5.4 FD AFFINE PROJECTION ALGORITHM 99
5.5 GENERALIZATION TO THE MISO SYSTEM CASE 101
5.6 NUMERICAL EXAMPLES 104
5.7 SUMMARY 106
BLIND IDENTIFICATION OF ACOUSTIC MIMO SYSTEMS 109
6.1 INTRODUCTION 109
6.2 BLIND SIMO IDENTIFICATION 111
6.2.1 IDENTIFIABILITY AND PRINCIPLE 111
6.2.2 CONSTRAINED TIME-DOMAIN MULTICHANNEL LMS AND NEWTON ALGORITHMS 113
6.2.3 UNCONSTRAINED MULTICHANNEL LMS ALGORITHM WITH OPTIMAL STEP-SIZE
CONTROL 120
6.2.4 FREQUENCY-DOMAIN UNNORMALIZED AND NORMALIZED MULTICHANNEL LMS
ALGORITHMS 122
6.2.5 ADAPTIVE MULTICHANNEL EXPONENTIATED GRADIENT ALGORITHM 135
6.2.6 NUMERICAL EXAMPLES 141
6.3 BLIND MIMO IDENTIFICATION 147
6.3.1 PROBLEM FORMULATION AND BACKGROUND REVIEW 148
6.3.2 MEMORYLESS MIMO SYSTEM WITH WHITE INPUTS 151
6.3.3 MEMORYLESS MIMO SYSTEM WITH COLORED INPUTS 152
6.3.4 CONVOLUTIVE MIMO SYSTEMS WITH WHITE INPUTS 154
6.3.5 CONVOLUTIVE MIMO SYSTEMS WITH COLORED INPUTS 156
6.3.6 FREQUENCY-DOMAIN BLIND IDENTIFICATION OF CONVOLUTIVE MIMO SYSTEMS
AND PERMUTATION INCONSISTENCY 157
6.3.7 CONVOLUTIVE MIMO SYSTEMS WITH WHITE BUT QUASISTATIONARY INPUTS 158
6.4 SUMMARY 160
6.5 APPENDIX. BLIND SIMO IDENTIFICATION: A DERIVATION DIRECTLY FROM THE
COVARIANCE MATRICES OF THE SYSTEM OUTPUTS 161
SEPARATION AND SUPPRESSION OF CO-CHANNEL AND TEMPORAL INTERFERENCE 169
7.1 INTRODUCTION 169
7.2 SEPARATING CO-CHANNEL AND TEMPORAL INTERFERENCE 170
7.2.1 EXAMPLE: CONVERSION OF A 2 X 3 MIMO SYSTEM TO TWO SIMO SYSTEMS 170
7.2.2 GENERALIZATION TO M X N MIMO SYSTEMS WITH M 2 AND M N 174
7.3 SUPPRESSING TEMPORAL INTERFERENCE 177
7.3.1 DIRECT INVERSE (ZERO-FORCING) EQUALIZER 178
7.3.2 MMSE EQUALIZER 179
7.3.3 MINT EQUALIZERS 179
7.4 SUMMARY 182
IMAGE 5
X
CONTENTS
PART II APPLICATIONS
8 ACOUSTIC ECHO CANCELLATION AND AUDIO BRIDGING 185
8.1 INTRODUCTION 185
8.2 NETWORK ECHO PROBLEM 186
8.3 SINGLE-CHANNEL ACOUSTIC ECHO CANCELLATION 188
8.4 MULTICHANNEL ACOUSTIC ECHO CANCELLATION 190
8.4.1 MULTI VERSUS MONO 190
8.4.2 MULTICHANNEL IDENTIFICATION AND THE NONUNIQUENESS PROBLEM 192
8.4.3 IMPULSE RESPONSE TAIL EFFECT 194
8.4.4 SOME DIFFERENT SOLUTIONS FOR DECORRELATION 195
8.5 HYBRID MONO/STEREO ACOUSTIC ECHO CANCELER 199
8.6 DOUBLE-TALK DETECTION 200
8.6.1 BASICS 200
8.6.2 DOUBLE-TALK DETECTION ALGORITHMS 202
8.6.3 PERFORMANCE EVALUATION OF DTDS 206
8.7 AUDIO BRIDGING 206
8.7.1 PRINCIPLE 206
8.7.2 INTERCHANNEL DIFFERENCES FOR SYNTHESIZING STEREO SOUND . 209 8.7.3
CHOICE OF INTERCHANNEL DIFFERENCES FOR STEREO AEC 211
8.8 SUMMARY 212
9 TIME DELAY ESTIMATION AND ACOUSTIC SOURCE LOCALIZATION . 215 9.1 TIME
DELAY ESTIMATION 215
9.2 CROSS-CORRELATION METHOD 217
9.3 MAGNITUDE-DIFFERENCE METHOD 219
9.4 MAXIMUM LIKELIHOOD METHOD 220
9.5 GENERALIZED CROSS-CORRELATION METHOD 223
9.6 ADAPTIVE EIGENVALUE DECOMPOSITION ALGORITHM 226
9.7 MULTICHANNEL CROSS-CORRELATION ALGORITHM 227
9.7.1 FORWARD SPATIAL LINEAR PREDICTION 228
9.7.2 BACKWARD SPATIAL LINEAR PREDICTION 230
9.7.3 SPATIAL LINEAR INTERPOLATION 231
9.7.4 TIME DELAY ESTIMATION USING SPATIAL LINEAR PREDICTION 232 9.7.5
SPATIAL CORRELATION MATRIX AND ITS PROPERTIES 233
9.7.6 MULTICHANNEL CROSS-CORRELATION COEFFICIENT 235
9.7.7 TIME DELAY ESTIMATION USING MCCC 235
9.8 ADAPTIVE MULTICHANNEL TIME DELAY ESTIMATION 236
9.9 ACOUSTIC SOURCE LOCALIZATION 238
9.10 MEASUREMENT MODEL AND CRAMER-RAO LOWER BOUND 239
9.11 ALGORITHM OVERVIEW 242
9.12 MAXIMUM LIKELIHOOD ESTIMATOR 243
9.13 LEAST-SQUARES ESTIMATORS 244
IMAGE 6
CONTENTS XI
9.13.1 LEAST-SQUARES ERROR CRITERIA 245
9.13.2 SPHERICAL INTERSECTION (SX) ESTIMATOR 247
9.13.3 SPHERICAL INTERPOLATION (SI) ESTIMATOR 247
9.13.4 LINEAR-CORRECTION LEAST-SQUARES ESTIMATOR 248
9.14 EXAMPLE SYSTEM IMPLEMENTATION 254
9.15 SUMMARY 259
10 SPEECH ENHANCEMENT AND NOISE REDUCTION 261
10.1 INTRODUCTION 261
10.2 NOISE-REDUCTION AND SPEECH-DISTORTION MEASURES 263
10.2.1 NOISE-REDUCTION FACTOR AND NOISE-REDUCTION GAIN FUNCTION 264
10.2.2 SPEECH-DISTORTION INDEX AND ATTENUATION FREQUENCY DISTORTION 265
10.2.3 SIGNAL-TO-NOISE RATIO 265
10.2.4 LOG-SPECTRAL DISTANCE 266
10.2.5 ITAKURA DISTANCE 266
10.2.6 ITAKURA-SAITO DISTANCE 268
10.2.7 MEAN OPINION SCORE 269
10.3 SINGLE-CHANNEL NOISE-REDUCTION ALGORITHMS: A BRIEF OVERVIEW. 269
10.4 TIME-DOMAIN WIENER FILTER 270
10.4.1 ESTIMATION OF THE CLEAN SPEECH SAMPLES 270
10.4.2 ESTIMATION OF THE NOISE SAMPLES 273
10.4.3 NOISE REDUCTION VERSUS SPEECH DISTORTION 274
10.4.4 A PRIORI SNR VERSUS A POSTERIORI SNR 277
10.4.5 BOUNDS FOR NOISE REDUCTION AND SPEECH DISTORTION . . . 281
10.4.6 PARTICULAR CASE: WHITE GAUSSIAN NOISE 282
10.4.7 A SUBOPTIMAL FILTER 283
10.5 FREQUENCY-DOMAIN WIENER FILTER 287
10.5.1 ESTIMATION OF THE CLEAN SPEECH SPECTRUM 287
10.5.2 A PRIORI SNR VERSUS A POSTERIORI SNR 290
10.6 NOISE REDUCTION THROUGH SPECTRAL MAGNITUDE RESTORATION . . . 292
10.7 SPECTRAL SUBTRACTION 293
10.7.1 ESTIMATION OF THE SPECTRAL MAGNITUDE OF THE CLEAN SPEECH 293
10.7.2 ESTIMATION OF THE NOISE SPECTRUM 295
10.7.3 RELATIONSHIP BETWEEN SPECTRAL SUBTRACTION AND WIENER FILTERING
296
10.7.4 ESTIMATION OF THE WIENER GAIN FILTER 299
10.7.5 SIMULATIONS 300
10.8 ADAPTIVE NOISE CANCELLATION 302
10.8.1 ESTIMATION OF THE CLEAN SPEECH 302
10.8.2 IDEAL NOISE CANCELLATION PERFORMANCE 304
10.8.3 SIGNAL CANCELLATION PROBLEM 305
10.8.4 SIMULATIONS 307
IMAGE 7
XII CONTENTS
10.9 NOISE REDUCTION WITH A MICROPHONE ARRAY 309
10.9.1 DELAY-AND-SUM ALGORITHM 310
10.9.2 LINEARLY CONSTRAINED ALGORITHMS 312
10.10 SUMMARY 317
11 SOURCE SEPARATION AND SPEECH DEREVERBERATION 319
11.1 COCKTAIL PARTY EFFECT 319
11.2 SOURCE SEPARATION 323
11.2.1 MICROPHONE ARRAY BEAMFORMING 323
11.2.2 INDEPENDENT COMPONENT ANALYSIS AND BLIND SOURCE SEPARATION 331
11.3 A SYNERGISTIC SOLUTION TO SOURCE SEPARATION AND SPEECH
DEREVERBERATION 341
11.4 SUMMARY 350
REFERENCES 353
INDEX 373 |
| adam_txt |
IMAGE 1
YITENG HUANG * JACOB BENESTY * JINGDONG CHEN
ACOUSTIC MIMO
SIGNAL PROCESSING
WITH 71 FIGURES
OE SPRINGER
IMAGE 2
CONTENTS
1 INTRODUCTION 1
1.1 ACOUSTIC MIMO SIGNAL PROCESSING 1
1.2 ORGANIZATION OF THE BOOK 4
PART I THEORY
2 ACOUSTIC MIMO SYSTEMS 9
2.1 SIGNAL MODELS 9
2.1.1 SISO MODEL 9
2.1.2 SIMO MODEL 11
2.1.3 MISO MODEL 12
2.1.4 MIMO MODEL 12
2.2 CHARACTERISTICS OF ACOUSTIC CHANNELS 13
2.2.1 LINEARITY AND SHIFT-INVARIANCE 14
2.2.2 FIR REPRESENTATION 14
2.2.3 TIME-VARYING CHANNEL IMPULSE RESPONSES 14
2.2.4 FREQUENCY SELECTIVITY 15
2.2.5 REVERBERATION TIME 15
2.2.6 CHANNEL INVERTIBILITY AND MINIMUM-PHASE FILTER 16
2.2.7 MULTICHANNEL DIVERSITY AND THE COMMON-ZERO PROBLEM 18 2.2.8 SPARSE
IMPULSE RESPONSE 19
2.3 MEASUREMENT AND SIMULATION OF MIMO ACOUSTIC SYSTEMS 21
2.3.1 DIRECT MEASUREMENT OF ACOUSTIC IMPULSE RESPONSES . . . 22 2.3.2
IMAGE MODEL FOR ACOUSTIC IMPULSE RESPONSE SIMULATION 24 2.4 SUMMARY 29
IMAGE 3
VII CONTENTS
3 WIENER FILTER AND BASIC ADAPTIVE ALGORITHMS 31
3.1 INTRODUCTION 31
3.2 WIENER FILTER 32
3.3 IMPULSE RESPONSE TAIL EFFECT 34
3.4 CONDITION NUMBER 35
3.4.1 DECOMPOSITION OF THE CORRELATION MATRIX 36
3.4.2 CONDITION NUMBER WITH THE FROBENIUS NORM 37
3.4.3 FAST COMPUTATION OF THE CONDITION NUMBER 39
3.5 BASIC ADAPTIVE ALGORITHMS 41
3.5.1 DETERMINISTIC ALGORITHM 41
3.5.2 STOCHASTIC ALGORITHM 44
3.5.3 SIGN ALGORITHMS 46
3.6 MIMO WIENER FILTER 48
3.7 NUMERICAL EXAMPLES 53
3.8 SUMMARY 56
4 SPARSE ADAPTIVE FILTERS 59
4.1 INTRODUCTION 59
4.2 NOTATION AND DEFINITIONS 60
4.3 THE NLMS, PNLMS, AND IPNLMS ALGORITHMS 61
4.4 UNIVERSAL CRITERION 64
4.4.1 LINEAR UPDATE 65
4.4.2 NON-LINEAR UPDATE 67
4.5 EXPONENTIATED GRADIENT ALGORITHMS 68
4.5.1 THE EG ALGORITHM FOR POSITIVE WEIGHTS 68
4.5.2 THE E G ALGORITHM FOR POSITIVE AND NEGATIVE WEIGHTS 69 4.5.3 THE
EXPONENTIATED RLS (ERLS) ALGORITHM 71
4.6 THE LAMBERT W FUNCTION BASED GRADIENT ALGORITHM 72
4.7 SOME IMPORTANT LINKS AMONG ALGORITHMS 74
4.7.1 LINK BETWEEN NLMS AND E G ALGORITHMS 74
4.7.2 LINK BETWEEN IPNLMS AND E G ALGORITHMS 75
4.7.3 LINK BETWEEN LWG AND E G ALGORITHMS 77
4.8 NUMERICAL EXAMPLES 78
4.9 SUMMARY 83
5 FREQUENCY-DOMAIN ADAPTIVE FILTERS 85
5.1 INTRODUCTION 85
5.2 DERIVATION OF SISO FD ADAPTIVE ALGORITHMS 86
5.2.1 CRITERION 86
5.2.2 NORMAL EQUATIONS 89
5.2.3 ADAPTIVE ALGORITHMS 91
5.2.4 CONVERGENCE ANALYSIS 93
5.3 APPROXIMATION AND SPECIAL CASES 96
5.3.1 APPROXIMATION 96
5.3.2 SPECIAL CASES 98
IMAGE 4
5.4 FD AFFINE PROJECTION ALGORITHM 99
5.5 GENERALIZATION TO THE MISO SYSTEM CASE 101
5.6 NUMERICAL EXAMPLES 104
5.7 SUMMARY 106
BLIND IDENTIFICATION OF ACOUSTIC MIMO SYSTEMS 109
6.1 INTRODUCTION 109
6.2 BLIND SIMO IDENTIFICATION 111
6.2.1 IDENTIFIABILITY AND PRINCIPLE 111
6.2.2 CONSTRAINED TIME-DOMAIN MULTICHANNEL LMS AND NEWTON ALGORITHMS 113
6.2.3 UNCONSTRAINED MULTICHANNEL LMS ALGORITHM WITH OPTIMAL STEP-SIZE
CONTROL 120
6.2.4 FREQUENCY-DOMAIN UNNORMALIZED AND NORMALIZED MULTICHANNEL LMS
ALGORITHMS 122
6.2.5 ADAPTIVE MULTICHANNEL EXPONENTIATED GRADIENT ALGORITHM 135
6.2.6 NUMERICAL EXAMPLES 141
6.3 BLIND MIMO IDENTIFICATION 147
6.3.1 PROBLEM FORMULATION AND BACKGROUND REVIEW 148
6.3.2 MEMORYLESS MIMO SYSTEM WITH WHITE INPUTS 151
6.3.3 MEMORYLESS MIMO SYSTEM WITH COLORED INPUTS 152
6.3.4 CONVOLUTIVE MIMO SYSTEMS WITH WHITE INPUTS 154
6.3.5 CONVOLUTIVE MIMO SYSTEMS WITH COLORED INPUTS 156
6.3.6 FREQUENCY-DOMAIN BLIND IDENTIFICATION OF CONVOLUTIVE MIMO SYSTEMS
AND PERMUTATION INCONSISTENCY 157
6.3.7 CONVOLUTIVE MIMO SYSTEMS WITH WHITE BUT QUASISTATIONARY INPUTS 158
6.4 SUMMARY 160
6.5 APPENDIX. BLIND SIMO IDENTIFICATION: A DERIVATION DIRECTLY FROM THE
COVARIANCE MATRICES OF THE SYSTEM OUTPUTS 161
SEPARATION AND SUPPRESSION OF CO-CHANNEL AND TEMPORAL INTERFERENCE 169
7.1 INTRODUCTION 169
7.2 SEPARATING CO-CHANNEL AND TEMPORAL INTERFERENCE 170
7.2.1 EXAMPLE: CONVERSION OF A 2 X 3 MIMO SYSTEM TO TWO SIMO SYSTEMS 170
7.2.2 GENERALIZATION TO M X N MIMO SYSTEMS WITH M 2 AND M N 174
7.3 SUPPRESSING TEMPORAL INTERFERENCE 177
7.3.1 DIRECT INVERSE (ZERO-FORCING) EQUALIZER 178
7.3.2 MMSE EQUALIZER 179
7.3.3 MINT EQUALIZERS 179
7.4 SUMMARY 182
IMAGE 5
X
CONTENTS
PART II APPLICATIONS
8 ACOUSTIC ECHO CANCELLATION AND AUDIO BRIDGING 185
8.1 INTRODUCTION 185
8.2 NETWORK ECHO PROBLEM 186
8.3 SINGLE-CHANNEL ACOUSTIC ECHO CANCELLATION 188
8.4 MULTICHANNEL ACOUSTIC ECHO CANCELLATION 190
8.4.1 MULTI VERSUS MONO 190
8.4.2 MULTICHANNEL IDENTIFICATION AND THE NONUNIQUENESS PROBLEM 192
8.4.3 IMPULSE RESPONSE TAIL EFFECT 194
8.4.4 SOME DIFFERENT SOLUTIONS FOR DECORRELATION 195
8.5 HYBRID MONO/STEREO ACOUSTIC ECHO CANCELER 199
8.6 DOUBLE-TALK DETECTION 200
8.6.1 BASICS 200
8.6.2 DOUBLE-TALK DETECTION ALGORITHMS 202
8.6.3 PERFORMANCE EVALUATION OF DTDS 206
8.7 AUDIO BRIDGING 206
8.7.1 PRINCIPLE 206
8.7.2 INTERCHANNEL DIFFERENCES FOR SYNTHESIZING STEREO SOUND . 209 8.7.3
CHOICE OF INTERCHANNEL DIFFERENCES FOR STEREO AEC 211
8.8 SUMMARY 212
9 TIME DELAY ESTIMATION AND ACOUSTIC SOURCE LOCALIZATION . 215 9.1 TIME
DELAY ESTIMATION 215
9.2 CROSS-CORRELATION METHOD 217
9.3 MAGNITUDE-DIFFERENCE METHOD 219
9.4 MAXIMUM LIKELIHOOD METHOD 220
9.5 GENERALIZED CROSS-CORRELATION METHOD 223
9.6 ADAPTIVE EIGENVALUE DECOMPOSITION ALGORITHM 226
9.7 MULTICHANNEL CROSS-CORRELATION ALGORITHM 227
9.7.1 FORWARD SPATIAL LINEAR PREDICTION 228
9.7.2 BACKWARD SPATIAL LINEAR PREDICTION 230
9.7.3 SPATIAL LINEAR INTERPOLATION 231
9.7.4 TIME DELAY ESTIMATION USING SPATIAL LINEAR PREDICTION 232 9.7.5
SPATIAL CORRELATION MATRIX AND ITS PROPERTIES 233
9.7.6 MULTICHANNEL CROSS-CORRELATION COEFFICIENT 235
9.7.7 TIME DELAY ESTIMATION USING MCCC 235
9.8 ADAPTIVE MULTICHANNEL TIME DELAY ESTIMATION 236
9.9 ACOUSTIC SOURCE LOCALIZATION 238
9.10 MEASUREMENT MODEL AND CRAMER-RAO LOWER BOUND 239
9.11 ALGORITHM OVERVIEW 242
9.12 MAXIMUM LIKELIHOOD ESTIMATOR 243
9.13 LEAST-SQUARES ESTIMATORS 244
IMAGE 6
CONTENTS XI
9.13.1 LEAST-SQUARES ERROR CRITERIA 245
9.13.2 SPHERICAL INTERSECTION (SX) ESTIMATOR 247
9.13.3 SPHERICAL INTERPOLATION (SI) ESTIMATOR 247
9.13.4 LINEAR-CORRECTION LEAST-SQUARES ESTIMATOR 248
9.14 EXAMPLE SYSTEM IMPLEMENTATION 254
9.15 SUMMARY 259
10 SPEECH ENHANCEMENT AND NOISE REDUCTION 261
10.1 INTRODUCTION 261
10.2 NOISE-REDUCTION AND SPEECH-DISTORTION MEASURES 263
10.2.1 NOISE-REDUCTION FACTOR AND NOISE-REDUCTION GAIN FUNCTION 264
10.2.2 SPEECH-DISTORTION INDEX AND ATTENUATION FREQUENCY DISTORTION 265
10.2.3 SIGNAL-TO-NOISE RATIO 265
10.2.4 LOG-SPECTRAL DISTANCE 266
10.2.5 ITAKURA DISTANCE 266
10.2.6 ITAKURA-SAITO DISTANCE 268
10.2.7 MEAN OPINION SCORE 269
10.3 SINGLE-CHANNEL NOISE-REDUCTION ALGORITHMS: A BRIEF OVERVIEW. 269
10.4 TIME-DOMAIN WIENER FILTER 270
10.4.1 ESTIMATION OF THE CLEAN SPEECH SAMPLES 270
10.4.2 ESTIMATION OF THE NOISE SAMPLES 273
10.4.3 NOISE REDUCTION VERSUS SPEECH DISTORTION 274
10.4.4 A PRIORI SNR VERSUS A POSTERIORI SNR 277
10.4.5 BOUNDS FOR NOISE REDUCTION AND SPEECH DISTORTION . . . 281
10.4.6 PARTICULAR CASE: WHITE GAUSSIAN NOISE 282
10.4.7 A SUBOPTIMAL FILTER 283
10.5 FREQUENCY-DOMAIN WIENER FILTER 287
10.5.1 ESTIMATION OF THE CLEAN SPEECH SPECTRUM 287
10.5.2 A PRIORI SNR VERSUS A POSTERIORI SNR 290
10.6 NOISE REDUCTION THROUGH SPECTRAL MAGNITUDE RESTORATION . . . 292
10.7 SPECTRAL SUBTRACTION 293
10.7.1 ESTIMATION OF THE SPECTRAL MAGNITUDE OF THE CLEAN SPEECH 293
10.7.2 ESTIMATION OF THE NOISE SPECTRUM 295
10.7.3 RELATIONSHIP BETWEEN SPECTRAL SUBTRACTION AND WIENER FILTERING
296
10.7.4 ESTIMATION OF THE WIENER GAIN FILTER 299
10.7.5 SIMULATIONS 300
10.8 ADAPTIVE NOISE CANCELLATION 302
10.8.1 ESTIMATION OF THE CLEAN SPEECH 302
10.8.2 IDEAL NOISE CANCELLATION PERFORMANCE 304
10.8.3 SIGNAL CANCELLATION PROBLEM 305
10.8.4 SIMULATIONS 307
IMAGE 7
XII CONTENTS
10.9 NOISE REDUCTION WITH A MICROPHONE ARRAY 309
10.9.1 DELAY-AND-SUM ALGORITHM 310
10.9.2 LINEARLY CONSTRAINED ALGORITHMS 312
10.10 SUMMARY 317
11 SOURCE SEPARATION AND SPEECH DEREVERBERATION 319
11.1 COCKTAIL PARTY EFFECT 319
11.2 SOURCE SEPARATION 323
11.2.1 MICROPHONE ARRAY BEAMFORMING 323
11.2.2 INDEPENDENT COMPONENT ANALYSIS AND BLIND SOURCE SEPARATION 331
11.3 A SYNERGISTIC SOLUTION TO SOURCE SEPARATION AND SPEECH
DEREVERBERATION 341
11.4 SUMMARY 350
REFERENCES 353
INDEX 373 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Huang, Yiteng 1972- Benesty, Jacob 1963- Chen, Jingdong |
| author_GND | (DE-588)132532417 (DE-588)122699459 (DE-588)132532441 |
| author_facet | Huang, Yiteng 1972- Benesty, Jacob 1963- Chen, Jingdong |
| author_role | aut aut aut |
| author_sort | Huang, Yiteng 1972- |
| author_variant | y h yh j b jb j c jc |
| building | Verbundindex |
| bvnumber | BV021796871 |
| callnumber-first | T - Technology |
| callnumber-label | TK5102 |
| callnumber-raw | TK5102.9 |
| callnumber-search | TK5102.9 |
| callnumber-sort | TK 45102.9 |
| callnumber-subject | TK - Electrical and Nuclear Engineering |
| classification_rvk | ZN 6060 |
| ctrlnum | (OCoLC)76910423 (DE-599)BVBBV021796871 |
| dewey-full | 621.3822 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3822 |
| dewey-search | 621.3822 |
| dewey-sort | 3621.3822 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Maschinenbau / Maschinenwesen Elektrotechnik / Elektronik / Nachrichtentechnik |
| discipline_str_mv | Maschinenbau / Maschinenwesen Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Book |
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| id | DE-604.BV021796871 |
| illustrated | Illustrated |
| index_date | 2024-07-02T15:46:28Z |
| indexdate | 2024-07-20T09:08:54Z |
| institution | BVB |
| isbn | 9783540376309 3540376305 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015009440 |
| oclc_num | 76910423 |
| open_access_boolean | |
| owner | DE-29T DE-573 DE-634 DE-83 |
| owner_facet | DE-29T DE-573 DE-634 DE-83 |
| physical | XIV, 378 S. Ill., graph. Darst. 235 mm x 155 mm |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | Springer |
| record_format | marc |
| series2 | Signals and communication technology |
| spelling | Huang, Yiteng 1972- Verfasser (DE-588)132532417 aut Acoustic MIMO signal processing Yiteng Huang ; Jacob Benesty ; Jingdong Chen Berlin [u.a.] Springer 2006 XIV, 378 S. Ill., graph. Darst. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Signals and communication technology Literaturverz. S. [353] - 371 Mathematik MIMO systems Signal processing Mathematics Wireless communication systems Geräuschminderung (DE-588)4129292-3 gnd rswk-swf Mehrkanalübertragung (DE-588)4169304-8 gnd rswk-swf Blinde Identifikation Informationstheorie (DE-588)4657534-0 gnd rswk-swf Akustische Signalverarbeitung (DE-588)4283234-2 gnd rswk-swf Akustische Kommunikation (DE-588)4409921-6 gnd rswk-swf Sprachqualität (DE-588)4536190-3 gnd rswk-swf Echosperre (DE-588)4150994-8 gnd rswk-swf Schallgeber (DE-588)4179371-7 gnd rswk-swf Signaltrennung (DE-588)4181278-5 gnd rswk-swf MIMO (DE-588)7540075-3 gnd rswk-swf Adaptives Filter (DE-588)4141377-5 gnd rswk-swf Akustische Signalverarbeitung (DE-588)4283234-2 s MIMO (DE-588)7540075-3 s Adaptives Filter (DE-588)4141377-5 s Mehrkanalübertragung (DE-588)4169304-8 s Signaltrennung (DE-588)4181278-5 s Blinde Identifikation Informationstheorie (DE-588)4657534-0 s DE-604 Akustische Kommunikation (DE-588)4409921-6 s Sprachqualität (DE-588)4536190-3 s Schallgeber (DE-588)4179371-7 s Echosperre (DE-588)4150994-8 s Geräuschminderung (DE-588)4129292-3 s Benesty, Jacob 1963- Verfasser (DE-588)122699459 aut Chen, Jingdong Verfasser (DE-588)132532441 aut http://deposit.dnb.de/cgi-bin/dokserv?id=2738091&prov=M&dok_var=1&dok_ext=htm Beschreibung für Leser text/html http://deposit.dnb.de/cgi-bin/dokserv?id=2838788&prov=M&dok_var=1&dok_ext=htm Inhaltstext GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015009440&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Huang, Yiteng 1972- Benesty, Jacob 1963- Chen, Jingdong Acoustic MIMO signal processing Mathematik MIMO systems Signal processing Mathematics Wireless communication systems Geräuschminderung (DE-588)4129292-3 gnd Mehrkanalübertragung (DE-588)4169304-8 gnd Blinde Identifikation Informationstheorie (DE-588)4657534-0 gnd Akustische Signalverarbeitung (DE-588)4283234-2 gnd Akustische Kommunikation (DE-588)4409921-6 gnd Sprachqualität (DE-588)4536190-3 gnd Echosperre (DE-588)4150994-8 gnd Schallgeber (DE-588)4179371-7 gnd Signaltrennung (DE-588)4181278-5 gnd MIMO (DE-588)7540075-3 gnd Adaptives Filter (DE-588)4141377-5 gnd |
| subject_GND | (DE-588)4129292-3 (DE-588)4169304-8 (DE-588)4657534-0 (DE-588)4283234-2 (DE-588)4409921-6 (DE-588)4536190-3 (DE-588)4150994-8 (DE-588)4179371-7 (DE-588)4181278-5 (DE-588)7540075-3 (DE-588)4141377-5 |
| title | Acoustic MIMO signal processing |
| title_auth | Acoustic MIMO signal processing |
| title_exact_search | Acoustic MIMO signal processing |
| title_exact_search_txtP | Acoustic MIMO signal processing |
| title_full | Acoustic MIMO signal processing Yiteng Huang ; Jacob Benesty ; Jingdong Chen |
| title_fullStr | Acoustic MIMO signal processing Yiteng Huang ; Jacob Benesty ; Jingdong Chen |
| title_full_unstemmed | Acoustic MIMO signal processing Yiteng Huang ; Jacob Benesty ; Jingdong Chen |
| title_short | Acoustic MIMO signal processing |
| title_sort | acoustic mimo signal processing |
| topic | Mathematik MIMO systems Signal processing Mathematics Wireless communication systems Geräuschminderung (DE-588)4129292-3 gnd Mehrkanalübertragung (DE-588)4169304-8 gnd Blinde Identifikation Informationstheorie (DE-588)4657534-0 gnd Akustische Signalverarbeitung (DE-588)4283234-2 gnd Akustische Kommunikation (DE-588)4409921-6 gnd Sprachqualität (DE-588)4536190-3 gnd Echosperre (DE-588)4150994-8 gnd Schallgeber (DE-588)4179371-7 gnd Signaltrennung (DE-588)4181278-5 gnd MIMO (DE-588)7540075-3 gnd Adaptives Filter (DE-588)4141377-5 gnd |
| topic_facet | Mathematik MIMO systems Signal processing Mathematics Wireless communication systems Geräuschminderung Mehrkanalübertragung Blinde Identifikation Informationstheorie Akustische Signalverarbeitung Akustische Kommunikation Sprachqualität Echosperre Schallgeber Signaltrennung MIMO Adaptives Filter |
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| work_keys_str_mv | AT huangyiteng acousticmimosignalprocessing AT benestyjacob acousticmimosignalprocessing AT chenjingdong acousticmimosignalprocessing |