本书是数字通信领域的一本优秀教材，既论述了数字通信的基本理论，又对数字通信的新技术进行了比较深入的分析。本书采用信号空间、随机过程的级数展开和低通等效等分析方法，根据最佳接收准则，讨论并分析了在加性高斯白噪声（AWGN）信道、带限信道（有符号间干扰和加性噪声）和多径衰落信道三种基本的典型信道条件下的数字信号可靠高效传输及最佳接收问题；从信号传输角度介绍了通信信号、数字调制、自适应均衡、多天线系统和最佳接收等内容：从信息传输角度介绍了信息论基础、信道容量和信道编码等内容。
本书对问题的讨论系统全面、逐步深入、概念清晰，理论分析逻辑严谨，配有丰富的习题和参考资料，适合作为信息和通信专业高年级本科生和研究生的教材。

Preface
Chapter 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
Chapter 2 Deterministic and Random Signal Analysis
2.1 Bandpass and Lowpass Signal Representation
2.1-1 Bandpass and Lowpass Signals
2.1-2 Lowpass Equivalent of Bandpass Signals
2.1-3 Energy Considerations
2.1-4 Lowpass Equivalent of a Bandpass System
2.2 Signal Space Representation of Waveforms
2.2-1 Vector Space Concepts
2.2-2 Signal Space Concept
2.2-3 Orthogonal Expansions of Signals
2.2-4 Gram-Schmidt Procedure
2.3 Some Useful Random Variables
2.4 Bounds on Tail Probabilities
2.5 Limit Theorems for Sums of Random Variables
2.6 Complex Random Variables
2.6-1 Complex Random Vectors
2.7 Random Processes
2.7-1 Wide-Sense Stationary Random Processes
2.7-2 Cyclostationary Random Processes
2.7-3 Proper and Circular Random Processes
2.7-4 Markov Chains
2.8 Series Expansion of Random Processes
2.8-1 Sampling Theorem for Band-Limited Random Processes
2.8-2 The Karhunen-Loève Expansion
2.9 Bandpass and Lowpass Random Processes
2.10 Bibliographical Notes and References Problems
Chapter 3 Digital Modulation Schemes
3.1 Representation of Digitally Modulated Signals
3.2 Memoryless Modulation Methods
3.2-1 Pulse Amplitude Modulation (PAM)
3.2-2 Phase Modulation
3.2-3 Quadrature Amplitude Modulation
3.2-4 Multidimensional Signaling
3.3 Signaling Schemes with Memory
3.3-1 Continuous-Phase Frequency-Shift Keying (CPFSK)
3.3-2 Continuous-Phase Modulation (CPM)
3.4 Power Spectrum of Digitally Modulated Signals
3.4-1 Power Spectral Density of a Digitally Modulated Signal with Memory
3.4-2 Power Spectral Density of Linearly Modulated Signals
3.4-3 Power Spectral Density of Digitally Modulated Signals with Finite Memory
3.4-4 Power Spectral Densities of CPFSK and CPM Signals
3.5 Bibliographical Notes and References Problems
Chapter 4 Optimum Receivers for AWGN Channels
4.1 Waveform and Vector Channel Models
4.1-1 Optimal Detection for a General Vector Channel
4.2 Waveform and Vector AWGN Channels
4.2-1 Optimal Detection for the Vector AWGN Channel
4.2-2 Implementation of the Optimal Receiver for AWGN Channels
4.2-3 A Union Bound on the Probability of Error of Maximum Likelihood Detection
4.3 Optimal Detection and Error Probability for Band-Limited Signaling
4.3-1 Optimal Detection and Error Probability for ASK or PAM Signaling
4.3-2 Optimal Detection and Error Probability for PSK Signaling
4.3-3 Optimal Detection and Error Probability for QAM Signaling
4.3-4 Demodulation and Detection
4.4 Optimal Detection and Error Probability for Power-Limited Signaling
4.4-1 Optimal Detection and Error Probability for Simplex Signaling
4.4-2 Optimal Detection and Error Probability for Biorthogonal Signaling
4.4-3 Optimal Detection and Error Probability for Simplex Signaling
……
Chapter 5 Carrier and Symbol Synchronization
Chapter 6 An Introduction to Information Theory
Chapter 7 Linear Block Codes
Chapter 8 Trellis and Graph Based Codes
Chapter 9 Digital Communication Through Band-Limited Channels
Chapter 10 Adaptive Equalization
Chapter 11 Multichannel and Multicarrier Systems
Chapter 12 Spread Spectrum Signals for Digital Communications
Chapter 13 Fading Channels I: Characterization and Signaling
Chapter 14 Fading Channels II: Capacity and Coding
Chapter 15 Multiple-Antenna Systems
Chapter 16 Multiuser Communications
Appendix A Matrices
Appendix B Error Probability for Multichannel Binary Si