Adaptive Signal Processing: Applications to Real-World ProblemsThe goal of this book is to provide, for the first time, a reference to the most relevant applications of adaptive filtering techniques. Top researchers in the field contributed chapters addressing their specific topic of study. The topics are limited to acoustics, speech, wireless, and networking applications where research is still very active and open. The book is roughly organized into two parts. In the first part, several applications in acoustics and speech are developed. The second part focuses on wireless and networking applications. Some chapters are tutorial in nature ,while others present new research ideas, and all have in common, the use of adaptive algorithms to solve real-world problems. TOC:On the Class of Exponentiated Adaptive Algorithms for the Identification of Sparse Impulse Responses (Jacob Benesty, Yiteng (Arden)Huang, Dennis R. Morgan).- Adaptive Feedback Cancellation in Hearing Aids (James M. Kates).- Single-Channel Acoustic Echo Cancellation (Eberhard Hänsler, Gerhard Schmidt).- Multichannel Frequency-Domain Adaptive Filtering with Application to Multichannel Acoustic Echo Cancellation (Herbert Buchner, Jacob Benesty, Walter Kellermann).- Filtering Techniques for Noise Reduction and Speech Enhancement (Jingdong Chen, Yiteng (Arden) Huang, Jacob Benesty).- Adaptive Beamforming for Audio Signal Acquisition (Wolfgang Herbordt, Walter Kellermann).- Blind Source Separation of Convolutive Mixtures of Speech (Shoji Makino).- Adaptive Multichannel Time Delay Estimation Based on Blind System Identification for Acoustic Source Localization (Yiteng (Arden) Huang, Jacob Benesty).- Algorithms for Adaptive Equalization in Wireless Applications (Markus Rupp, Andreas Burg).- Adaptive Space-Time Processing for Wireless CDMA (Sofiéne Affes, Paul Mermelstein).- The IEEE 802.11 System with Multiple Receive Antennas (Vijitha Weerackody).- Adaptive Estimation of Clock Skew and Different Types of Delay in the Internet Network (Jacob Benesty). |
Contents
On a Class of Exponentiated Adaptive Algorithms for the Identification of Sparse Impulse Responses | 1 |
12 Derivation of the Different Algorithms | 2 |
13 Link Between the LMS and EG Algorithms and Normalized Versions | 5 |
14 The RLS and ERLS Algorithms | 9 |
15 Link Between the PNLMS and EG Algorithms | 10 |
16 Application of the EG Algorithm for Blind Channel Identification | 12 |
17 Simulations | 15 |
18 Conclusions | 20 |
Blind Source Separation of Convolutive Mixtures of Speech | 195 |
72 What Is BSS? | 196 |
73 What Is ICA? | 201 |
74 How Speech Signals Can Be Separated? | 204 |
75 Physical Interpretation of BSS | 207 |
76 Equivalence Between BSS and Adaptive Beamformers | 210 |
77 Separation Mechanism of BSS | 213 |
78 When Sources Are Not Independent | 215 |
References | 21 |
Adaptive Feedback Cancellation in Hearing Aids | 23 |
22 SteadyState Analysis | 26 |
23 The Feedback Path | 29 |
24 RealWorld Processing Concerns | 30 |
25 Feedback Cancellation System | 32 |
26 Constrained Adaptation | 37 |
27 FilteredX System | 44 |
28 Room Reverberation Effects | 47 |
29 Conclusions | 53 |
References | 55 |
SingleChannel Acoustic Echo Cancellation | 59 |
32 Settings | 61 |
33 Methods for Acoustic Echo Control | 69 |
34 Adaptive Algorithms | 72 |
35 Adaptation Control | 77 |
36 Suppression of Residual Echoes | 82 |
37 Processing Structures | 87 |
38 Conclusions | 89 |
References | 91 |
Multichannel FrequencyDomain Adaptive Filtering with Application to Multichannel Acoustic Echo Cancellation | 95 |
42 General Derivation of Multichannel FrequencyDomain Algorithms | 98 |
43 Convergence Analysis | 105 |
44 Generalized FrequencyDomain Adaptive MIMO Filtering | 110 |
45 Approximation and Special Cases | 112 |
46 A Dynamical Regularization Strategy | 116 |
47 Efficient Multichannel Realization | 117 |
48 Simulations and RealWorld Applications | 122 |
49 Conclusions | 126 |
References | 127 |
Filtering Techniques for Noise Reduction and Speech Enhancement | 129 |
52 Noise Reduction with an Array | 131 |
53 Adaptive Noise Cancellation | 137 |
54 Spectral Modification with a Single Microphone | 144 |
55 Conclusions | 151 |
References | 153 |
Adaptive Beamforming for Audio Signal Acquisition | 155 |
62 Signal Model Sensor Arrays and Concepts | 157 |
63 DataIndependent Beamformer Design | 162 |
64 Optimum DataDependent Beamformer Designs | 165 |
65 Adaptation of LCMVLS Beamformers | 178 |
66 A Practical Audio Acquisition System Using a Robust GSC | 180 |
67 Conclusions | 187 |
79 Sound Quality | 217 |
710 Experimental Conditions | 220 |
711 Conclusions | 222 |
References | 223 |
Adaptive Multichannel Time Delay Estimation Based on Blind System Identification for Acoustic Source Localization | 227 |
82 Problem Formulation | 229 |
83 Generalized Multichannel Time Delay Estimation | 232 |
84 Simulations | 238 |
85 Conclusions | 243 |
References | 246 |
Algorithms for Adaptive Equalization in Wireless Applications | 249 |
92 Criteria for Equalization | 251 |
93 Channel Equalization | 253 |
94 Adaptive Algorithms for Channel Equalization | 265 |
95 Channel Estimation | 269 |
96 Maximum Likelihood Equalization | 273 |
97 Blind Algorithms | 275 |
98 Conclusions | 277 |
Adaptive SpaceTime Processing for Wireless CDMA | 283 |
102 Data Model | 285 |
103 The Blind 2D RAKE Receiver | 287 |
104 The Blind 2D STAR | 288 |
105 The Blind 1DST STAR | 301 |
106 The PilotAssisted 1DST STAR | 311 |
107 Conclusions | 318 |
References | 319 |
The IEEE 80211 System with Multiple Receive Antennas | 323 |
112 System Model with Multiple Receive Antennas | 326 |
113 The IEEE 80211 Distributed Coordination Function with Multiple Packet Reception | 328 |
114 Throughput Analysis | 330 |
115 Performance Results | 335 |
116 Conclusions | 338 |
References | 339 |
Adaptive Estimation of Clock Skew and Different Types of Delay in the Internet Network | 341 |
122 Terminology and Problem Formulation | 342 |
123 Delay Jitter Model | 344 |
125 The Maximum Likelihood ML Estimator and Linear Programming | 346 |
126 An Unbiased RLS Algorithm | 347 |
127 Simulations | 348 |
128 Conclusions | 349 |
351 | |
353 | |
Other editions - View all
Adaptive Signal Processing: Applications to Real-World Problems Jacob Benesty,Yiteng Huang Limited preview - 2013 |
Adaptive Signal Processing: Applications to Real-World Problems Jacob Benesty,Yiteng Huang No preview available - 2010 |
Adaptive Signal Processing: Applications to Real-World Problems Jacob Benesty,Yiteng Huang No preview available - 2014 |
Common terms and phrases
1D-ST STAR 2D RAKE 2D STAR acoustic echo cancellation adaptive algorithms adaptive beamforming adaptive filter amplitude approach audio Benesty blind source separation block blocking matrix BPSK cancellation filter CDMA channel identification computed Conf constraints convergence cross-correlation decorrelation delay desired signal DFI procedure domain earmold equation error signal estimate feedback cancellation feedback path filter coefficients FIR filter frequency frequency-domain hearing aid IEEE IEEE Trans implement impulse response input signal interference jammer LEM system matrix microphone arrays minimizing MMSE multichannel multipath multiple packet NLMS noise reduction performance obtained optimal optimum output parameter phase ambiguity problem Proc propagation receive antennas recursive reduced residual echo reverberation RLS algorithm robust samples Sect sensor Signal Processing simulations solution source signal space-time spatial spectral speech signal ST-MRC stations step-size symbol techniques transmitted update Wiener filter wireless zero