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List of figures viii
List of tables xii
Preface xiii
List of symbols xv
List of abbreviations xvi
Introduction 1
Communications in interference-limited environments 1
Issues in receiver design 5
Adaptive signal processing 7
Iterative signal processing 7
Outline of the book 10
Limitations of the book 10
ISI channels and adaptive signal processing 13
Channel equalization for dispersive channels 15
ISI channels and the equalization problem 15
Linear equalizers 19
Decision feedback equalizers 26
Adaptive linear equalizers 33
Adaptive decision feedback equalizers 43
Summary and notes 44
Appendix to Chapter 2: Convergence of the LMS algorithm 44
Sequence detection with adaptive channel estimation 48
MLSD and the Viterbi algorithm 48
Channel estimation 61
MLSD with estimated channel 65
Per-survivor processing with adaptive channel estimation 68
Summary and notes 74
Estimation and detection for fading multipath channels 75
Introduction to fading channel modeling 75
MMSE approach to estimate time-varying channels 85
Adaptive algorithms to track time-varying channels 89
Kalman filter for channel tracking 93
MLSD and PSP with channel tracking for fading channels 100
Summary and notes 104
Iterative signal processing for ISI channels 105
Map detection and iterative channel estimation 107
Map symbol detection over ISI channels 107
ML channel estimation and the EM algorithm 118
Iterative channel estimation with MAP detection 127
ML data detection via the EM algorithm 131
Summary and notes 133
Iterative receivers over static ISI channels 134
A brief overview of information theory 134
Convolutional codes 143
Iterative receivers 152
Exit chart analysis 160
Summary and notes 169
Iterative receivers under time-varying channel conditions 171
Detection/decoding for unknown time-varying channels 171
Iterative receiver based on ExDD-ImC approach 172
Iterative receiver based on ExC-ImDD approach 179
Summary and notes 188
Appendix to Chapter 7: Gauss-Seidel iteration 190
Other interference-limited systems 193
CDMA systems and multiuser detection 195
Overview of cellular systems 195
Introduction to CDMA systems 197
Multiuser detection 203
Adaptive detectors 210
Summary and notes 218
Iterative CDMA receivers 219
Structure of iterative receivers 219
MAP detection in iterative receivers 220
Approximate MAP detection within iterative receivers 223
MMSE-SC detection within iterative receivers 227
Iterative receiver with unknown interferers 232
Summary and notes 238
Iterative receivers for multiple antenna systems 239
Space diversity 239
MIMO detection 239
Iterative receivers with known channels 253
Doubly iterative receivers under uncertain conditions 261
Summary and notes 268
Appendix to Chapter 10: Proof of Eq. (10.71) 269
Coded OFDM and the iterative receiver 271
Introduction to OFDM systems 271
Coded OFDM 279
EM-based iterative channel estimation 284
Summary and notes 288
Appendix to Chapter 11: Derivation of Eq. (11.6) 289
Review of signal processing and the Z-transform 290
Important properties of matrices and vectors 293
Background for probability and statistics 299
References 308
Index 316
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Add Adaptive and Iterative Signal Processing in Communications, Adaptive signal processing (ASP) and iterative signal processing (ISP) are important techniques in improving the performance of receivers in communication systems. Using examples from practical transceiver designs, this book describes the fundamental theo, Adaptive and Iterative Signal Processing in Communications to the inventory that you are selling on WonderClubX
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Add Adaptive and Iterative Signal Processing in Communications, Adaptive signal processing (ASP) and iterative signal processing (ISP) are important techniques in improving the performance of receivers in communication systems. Using examples from practical transceiver designs, this book describes the fundamental theo, Adaptive and Iterative Signal Processing in Communications to your collection on WonderClub |