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