Preface 1 Introduction 1.1 Elements of a Digital Communication System 1.2 Communication Channels and Their Characteristics 1.3 Mathematical Models for Communication Channels 1.4 A Historical Perspective in the Development of Digital Communications 1.5 Overview of the Book 1.6 Bibliographical Notes and References 2 Probability and Stochastic Processes 2.1 Probability 2.2 Stochastic Processes 2.3 Bibliographical Notes and References Problems 3 Source Coding 3.1 Mathematical Models for Information Sources 3.2 A Logarithmic Measure of Information 3.3 Coding for Diserete Sources 3.4 Coding for Analog Sources--Optimum Quantization 3.5 Coding Techniques for Analog Sources 3.6 Bibliographical Notes and References Problems 4 Characterization of Communication Signals and Systems 4.1 Representation of Band-Pass Signals and Systems 4.2 Signal Space Representations 4.3 Representation of Digitally Modulated Signals 4.4 Spectral Ctharacteristics of Digitally Modulated Signals 4.5 Bibliographical Notes and References Problems 5 Optimum Receivers for the Additive White Gaussian Noise Channel 5.1 Optimum Receiver for Signals Corrupted by Additive White Gaussian Noise 5.2 Performance of the Optimum Receiver for Memoryless Modulation 5.3 Optimum Receiver for CPM Signals 5.4 Optimum Receiver for Signals with Random Phase in AWGN Channel 5.5 Performance Analysis for Wireline and Radio Communication Systems 5.6 Bibliographical Notes and References Problems 6 Carrier and Symbol Synchronziation 6.1 Signal Parameter Estimation 6.2 Carrier Phase Estimation 6.3 Symbol Timing Estimation 6.4 Joint Estimation of Carrier Phase and Symbol Timing 6.5 Performance Characteristics of ML Estimators 6.6 Bibliographical Notes and References Problems 7 Channel Capacity and Coding 7.1 Channel Models and Channel Capacity 7.2 Random Selection of Codes 7.3 Communication System Design Based on the Cutoff Rate 7.4 Bibliographical Notes and References Problems 8 Block and Convolutional Channel Codes 8.1 Linear Block Codes 8.2 Convolutional Codes 8.3 Coded Modulation for Bandwidth-Constrained Channels--Trellis-Coded Modulation 8.4 Bibliographical Notes and References Problems 9 Signal Design for Band-Limited Channels 9.1 Characterization of Band-Limited Channels 9.2 Signal Design for Band-Limited Channels 9.4 Modulation Codes for Spectrum Shaping 9.5 Bibliographical Notes and References Problems 10 Communication Through Band-Limited Linear Filter Channels 10.1 Optimum Receiver for Channels with ISl and AWGN 10.2 Linear Equalization 10.3 Decision-Feedback Equalization 10.4 Reduced Complexity ML Detectors 10.5 Iterative Equalization and Decoding--Turbo Equalization 10.6 Bibliographical Notes and References Problems 11 Adaptive Equalization 11.1 Adaptive Linear Equalizer 11.2 Adaptive Decision-Feedback Equalizer 11.3 Adaptive Equalization of Trellis-Coded Signals 11.4 Recursive Least-Squares Algorithms for Adaptive Equalization 11.5 Self-Recovering(Blind)Equalization 11.6 Bibliographical Notes and References Problems 12 Multichannel and Multicarrier Systems 12.1 Multichannel Digital Communications in AWGN Channels 12.2 Multicarrier Communications 12.3 Bibliographical Notes and References Problems 13 Spread Spectrum Signals for Digital Communications 13.1 Model of Spread Spectrum Digital Communication System 13.2 Direct Sequence Spread Spectrum Signals 13.3 Frequency-Hopped Spread Spectrum Signals 13.4 Other Types of Spread Spectrum Signals 13.5 Synchronization of Spread Spectrum Systems 13.6 Bibliographical Notes and References Problems 14 Digital Communications through Fading Multipath Channels 14.1 Characterization of Fading Multipath Channels 14.2 The Effect of Signal Characteristics on the Choice of a Channel Model 14.3 Frequency-Nonselective, Slowly Fading Channel 14.4 Diversity Techniques for Fading Multipath Channels 14.5 Digital Signaling over a Frequency-Selective, Slowly Fading Channel 14.6 Coded Waveforms for Fading Channels 14.7 Multiple-Antenna Systems 14.8 Bibliographical Notes and References Problems 15 Multiuser Communications 15.1 Introduction to Multiple Access Techniques 15.2 Capacity of Multiple Access Methods 15.3 Code-Division Multiple Access 15.4 Random Access Methods 15.5 Bibliographical Notes and References Problems Appendix A The Levinson--Durbin Algorithm Appendix B Error Probability for Muitichannel Binary Signals Appendix C Error Probabilities for Adaptive Reception of M-Phase Signals C.1 Mathematical Model for M-Phase Signaling Communication System C.2 Characteristic Function and Probability Density Function of the Phase C.3 Error Probabilities for Slowly Rayleigh Fading Channels C.4 Error Probabilities for Time-Invariant and Ricean Fading Channels Appendix D Square-Root Factorization References and Bibliography Index
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