

Table of Contents
Preface
- Introduction
- Elements of a Digital Communication System
- Communication Channels and Their Characteristics
- Mathematical Methods for Communication Channels
- A Historical Perspective in the Development of Digital Communications
- Overview of the Book
- Probability and Stochastic Processes
- Probability
- Stochastic Processes
- Source Coding
- Mathematical Models for Information Sources
- A Logarithmic Measure of Information
- Coding for Discrete Sources
- Coding for Analog Sources – Optimum Quantization
- Coding Techniques for Analog Sources
- Characterization of Communication Signals and Systems
- Representation of Band-Pass Signals and Systems
- Signal Space Representations
- Representation of Digitally Modulated Signals
- Spectral Characteristics of Digitally Modulated Signals
- Optimum Receivers for the Additive White Gaussian Noise Channel
- Optimum Receiver for Signals Corrupted by Additive White Gaussian Noise
- Performance of the Optimum Receiver for Memoryless Modulation
- Optimum Receiver for CPM Signals
- Optimum Receiver for Signals with Random Phase in AWGN Channel
- Performance Analysis for Wireline and Radio Communication Systems
- Carrier and Symbol Synchronization
- Signal Parameter Estimation
- Carrier Phase Estimation
- Symbol Timing Estimation
- Joint Estimation of Carrier Phase and Symbol Timing
- Channel Capacity and Coding
- Channel Models and Channel Capacity
- Random Selection of Codes
- Communication System Design Based on the Cutoff Rate
- Block and Convolutional Channel Codes
- Linear Block Codes
- Convolutional Codes
- Coded Modulation for Bandwidth-Constrained Channels – Trellis-Coded Modulation
- Signal Design for Band-Limited Channels
- Characterization of Band-Limited Channels
- Signal Design for Band-Limited Channels
- Probability of Error in Detection of PAM
- Modulation Codes for Spectrum Shaping
- Communication Through Band-Limited Linear Filter Channels
- Optimum Receiver for Channels with ISI and AWGN
- Linear Equalization
- Decision-Feedback Equalization
- Reduced Complexity ML Detectors
- Iterative Equalization and Decoding – Turbo Equalization
- Adaptive Equalization
- Adaptive Linear Equalization
- Adaptive Decision-Feedback Equalizer
- Adaptive Equalization of Trellis-Coded Signals
- Recursive Least-Squares Algorithms for Adaptive Equalization
- Self-Recovering (Blind) Equalization
- Multichannel and Multicarrier Systems
- Multichannel Digital Communications in AWGN Channels
- Multicarrier Communications
- Spread Spectrum Signals for Digital Communications
- Model of Spread Spectrum Digital Communication System
- Direct Sequence Spread Spectrum Signals
- Frequency-Hopped Spread Spectrum Signals
- Other Types of Spread Spectrum Signals
- Synchronization of Spread Spectrum Systems
- Digital Communications through Fading Multipath Channels
- Characterization of Fading Multipath Channels
- The Effect of Signal Characteristics on the Choice of a Channel Model
- Frequency-Nonselective, Slowly Fading Channel
- Diversity Techniques for Fading Multipath Channels
- Digital Signaling over a Frequency-Selective, Slowly Fading Channel
- Coded Waveforms for Fading Channels
- Multiple-Antenna Systems
- Multiuser Communications
- Introduction to Multiple Access Techniques
- Capacity of Multiple Access Methods
- Code-Division Multiple Access
- Random Access Methods
Appendix A The Levinson-Durbin Algorithm
Appendix B Error Probability for Multichannel Binary Signals
Appendix C Error Probabilities for Adaptive Reception of M-Phase Signals
Appendix D Square-Root Factorization
References and Bibliography
Index