[内容简介]
    本书是通信系统领域的经典教材，全面介绍了模拟通信系统和数字通信系统以及构成目前光纤、无线和卫星通信网基础设施的基本原理。书中列举了数字有线电视、无线通信、蜂窝通信和网络通信等众多应用实例，并结合这些实例详细分析了信源编码、信道编码、调制/解调、复用与同步技术、基带技术和抗噪技术。
       本书除包含目前国内樊昌信的《通信原理》的全部内容外，内容更深，旨在克服目前大多数同类书实用性和工程性不足的缺点。还加强了实际应用系统的介绍和理论仿真的介绍与实现。同时，本书实用性、工程性、参考性较强；全书拥有很有特色的体系结构，以应用为目标，先讲原理、方法，再给出相关的例子，易于理解。
　　本书特点主要体现在：
　　1、本书比《通信原理》多出了信息压缩技术（即，信源编码）。体现出数字通信系统的完整性；
　　2、本书的复用与同步一章的“复用”介绍PDH、SDH这两种实际复用技术，同步强调实际实现，而《通信原理》的同步强调枯燥的理论，且没有复用的内容；
　　3、书中的“基带传输”比《通信原理》多出了“噪声检测”的内容；
　　4、书中的“信道编码”比《通信原理》更简洁易懂；
　　5、本书比《通信原理》增加了MATLAM实现，对于工程应用来说，MATLAB实现更加方便可行。
[目录]
Preface xv
CHAPTER 
Introduction 
1.1 Elements of a Communication System 
1.2 Communication Channels 
1.3 Analog and Digital Communication Systems 
1.4 History of Communications 
1.5 Key Themes and Drivers 
Final Remarks 
Further Readings 
CHAPTER 2
Review of Signals and Linear Systems 
2.1 Basic Signal Concepts 
2.2 Basic System Concepts 
2.3 Frequency Domain Representation 
2.4 Fourier Series 
2.5 Fourier Transform 
2.6 Time-Bandwidth Product 
2.7 Transmission of Signals Through LTI Systems 
2.8 LTI Systems as Frequency Selective Filters 
2.9 Power Spectral Density 
2.10 Frequency Response Characteristics of Transmission Media 
2.11 Fourier Transforms for Discrete-Time Signals 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
CHAPTER 3
Simulation of Communication Systems Using MATLAB/Simulink 
3.1 Getting Started in Simulink 
3.2 Modeling in Simulink 
3.3 Simulation of Signal and Noise Sources 
3.4 Modeling of Communication Systems 
3.5 Displaying Signals in Frequency Domain 
3.6 Using Simulink with MATLAB 
Final Remarks 
Further Readings 
CHAPTER 4
Amplitude Modulation 
4.1 Low-Pass and Bandpass Signals 
4.2 Double-Sideband Suppressed-Carrier AM 
4.3 Conventional Amplitude Modulation 
4.4 Alternative Representations for BP Signals and Systems 
4.5 Single-Sideband AM 
4.6 Vestigial-Sideband AM 
4.7 Quadrature Multiplexing 
4.8 Multiplexing 
4.9 Frequency Translation and Selection 
4.10 Communication Receivers 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
APPENDIX 4A: Hilbert Transform 
CHAPTER 5
Angle Modulation 
5.1 FM and PM Signals 
5.2 Spectrum of Angle-Modulated Signals 
5.3 Narrowband FM 
5.4 Demodulation of Angle-Modulated Signals 
5.5 Phase-Locked Loop 
5.6 PLL as FM Demodulator 
5.7 FM Broadcasting 
5.8 Analog Television 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
CHAPTER 6
Probability and Random Processes 
6.1 Probability Concepts 
6.2 Random Variables 
6.3 Continuous Random Variables 
6.4 Functions of a Random Variable 
6.5 Statistics of Random Variables 
6.6 Pairs of Random Variables 
6.7 Conditional Distributions 
6.8 Jointly Gaussian Random Variables 
6.9 Random Processes: Introduction 
6.10 Power Spectrum of a Random Process 
6.11 Some Important Random Processes 
6.12 Narrowband Noise 
6.13 Noise Sources in Communication Systems 
6.14 Characterization of System Noise 
6.15 MATLAB Simulation of Random Processes 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
CHAPTER 7
Noise Performance of Analog Communication Systems 
7.1 Noise Performance of Baseband Systems 
7.2 Effect of Noise on the Performance of AM Systems 
7.3 Noise Performance of Angle-Modulation Systems 
7.4 Preemphasis and Deemphasis 
7.5 Comparison of Analog Modulation Systems 
7.6 Link Design 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
CHAPTER 8
Conversion of Analog Signals to Digital Format 
8.1 Sampling of Low-Pass Signals 
8.2 Aliasing 
8.3 Digitization of Analog Signals 
8.4 Pulse Code Modulation 
8.5 Differential Pulse Code Modulation 
8.6 Oversampling in Analog-to-Digital Conversion 
8.7 Delta Modulation 
8.8 Sigma-Delta Modulation 
8.9 Sampling Theorem for Bandpass Signals 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
CHAPTER 9
Digital Baseband Modulation 
9.1 Pulse Amplitude Modulation 
9.2 Binary Line-Coding Techniques 
9.3 Spectra of Digital Baseband Signals 
9.4 Bandwidth of Digital Baseband Signals 
9.5 Spectral and Power Out-of-Band Plots 
9.6 Block Line Codes 
9.7 Scrambling 
9.8 Pulse Shaping to Improve Spectral Efficiency 
9.9 Estimation of Allowable Bit Rate 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
CHAPTER 10
Detection of Baseband Signals in Noise 
10.1 Binary Signal Detection in AWGN 
10.2 The Matched Filter 
10.3 Vector Space Concepts 
10.4 Vector Space Representation of Signals and WGN 
10.5 M -ary Signal Detection in AWGN 
10.6 Error Performance of ML Detectors 
10.7 Error Performance of M -ary PAM Signals 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
CHAPTER 11
Digital Information Transmission Using Carrier Modulation 
11.1 Basic Concepts 
11.2 Binary Amplitude-Shift Keying 
11.3 Binary Phase-Shift Keying 
11.4 Binary Frequency-Shift Keying 
11.5 Differential Binary Phase-Shift Keying 
11.6 Noncoherent Demodulation of Binary Digital Carrier Signals 
11.7 Quadrature Modulation Schemes 
11.8 Minimum Shift Keying 
11.9 Quadrature Amplitude Modulation 
11.10 Spectra of Quadrature Modulated Signals 
11.11 Comparison of Carrier Modulation Schemes 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
CHAPTER 12
Digital Signal Transmission Through Time Dispersive Channels 
12.1 Transmission of PAM Signals Through Bandlimited Channels 
12.2 Nyquist’s Criterion for Zero ISI 
12.3 Transmit and Receive Filters for Bandlimited AWGN Channels 
12.4 Partial Response (Duobinary) Signaling 
12.5 Linear Equalizers 
12.6 Adaptive Equalization 
12.7 Decision Feedback Equalizers 
12.8 Performance of Linear and Decision Feedback Equalizers 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
CHAPTER 13
Digital Multiplexing and Synchronization 
13.1 Digital Multiplexing 
13.2 SONET
13.3 Carrier Synchronization 
13.4 Symbol Synchronization 
13.5 Frame Synchronization 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
CHAPTER 14
Information Theory and Compression Techniques 
14.1 Basic Concepts of Information Theory 
14.2 Source Coding 
14.3 Channel Coding 
14.4 Capacity of AWGN Channels 
14.5 Lossless Compression Techniques 
14.6 Image Compression: JPEG 
14.7 Digital Video Compression: MPEG 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
APPENDIX A: Capacity of AWGN Channel: Alternative Proof 
CHAPTER 15
Channel Coding Techniques 
15.1 Block Codes 
15.2 Hard-Decision Decoding of Block Codes 
15.3 Cyclic Codes 
15.4 Error Correction Performance of Hard-Decision Decoded Block Codes 
15.5 Soft-Decision Decoding of Block Codes 
15.6 Convolutional Codes 
15.7 Error Performance of Convolutional Codes 
15.8 Turbo Codes 
15.9 Trellis-Coded Modulation 
Final Remarks 
Further Readings 
Problems 
MATLAB Problems 
APPENDIX A
Mathematical Tables 
APPENDIX B
Abbreviations 
APPENDIX C
List of Symbols 
Index