通信系统（第4版）（英文版）
BACKGROUND AND PREVIEW
1.The Communicatin Process
2.Primary Communication Resources
3.Sources of Information
4.Communication Networks
5.Communication Channels
6.Modulation Process
7.Analog and Digital Types of Communication
8.Shannon's Information Capacity Theorem
9.A Digital Communication Problem
10.Historical Notes
Notes and References
CHAPTER 1 Random Processes
1.1 Introduction
1.2 Mathematical Definition of a Random Process
1.3 Stationary Processes
1.4 Mean,Correlation,and Covariance Functions
1.5 Ergodic Processes
1.6 Transmission of a Random Process Through a Linear Time-Invariant Filter
1.7 Power Spectral Density
1.8 Gaussian Process
1.9 Noise
1.10 Narrowband Noise
1.11 Representation of Narrowband Noise in Terms of In-phase and Quadrature Components
1.12 Representation of Narrowband Noise in Terms of Envelope and Phase Components
1.13 Sine Wave Plus Narrowband Noise
1.14 Computer Experiments:Flat-Fading Channel
1.15 Summary and Discussion
Notes and References
Problems
CHAPTER 2 Continuous-Wave Modulation
2.1 Introduction
2.2 Amplitude Modulation
2.3 Linear Modulation Schemes
2.4 Frequency Translation
2.5 Frequency-Division Multiplexing
2.6 Angle Modulation
2.7 Frequency Modulation
2.8 Nonlinear Effects in FM Systems
2.9 Superheterodyne Receiver
2.10 Noise in CW Modulation Systems
2.11 Noise in Linear Receivers using Coherent Detection
2.12 Noise in AM Receivers using Envelope Detection
2.13 Noise in FM Receivers
2.14 Computer Experiments:Phase-Locked Loop
2.15 Summary and Discussion
Notes and References
Problems
CHAPTER 3 Pulse Modulation
3.1 Introduction
3.2 Sampling Process
3.3 Pulse-Amplitude Modulation
3.4 Other Forms of Pulse Modulation
3.5 Bandwidth-Noise Trade-off
3.6 Quantization Process
3.7 Pulse-Code Modulation
3.8 Noise Considerations in PCM Systems
3.9 Time-Division Multiplexing
3.10 Digital Multiplexers
3.11 Virtues,Limitations,and Modifications of PCM
3.12 Delta Modulation
3.13 Linear Prediction
3.14 Differential Pulse-Code Modulation
3.15 Adaptive Differential Pulse-Code Modulation
3.16 Computer Experiment:Adaptive Delta Modulation
3.17 MPEG Audio Coding Standard
3.18 Summary and Discussion
Notes and References
Problems
CHAPTER 4 Baseband Pulse Transmission
4.1 Introduction
4.2 Matched Filter
4.3 Error Rate Due to Noise
4.4 Intersymbol Interference
4.5 Nyquist's Criterion for Distortionless Baseband Binary Transmission
4.6 Correlative-Level Coding
4.7 Baseband M-ary PAM Transmission
4.8 Digital Subscriber Lines
4.9 Optimum Linear Receiver
4.10 Adaptive Equzlization
4.11 Computer Experiments:Eye Patterns
4.12 Summary and Discussion
Notes and References
Problems
CHAPTER 5 Signal-Space Analysis
5.1 Introduction
5.2 Geometric Representation of Signals
5.3 Conversion of the Continuous AWGN Channel into a Vector Channel
5.4 Likelisood Functions
5.5 Coherent Detection of Signals in Noise:Maximum Likelihood Decoding
5.6 Correlation Receiver
5.7 Probability of Error
5.8 Summary and Discussion
Notes and References
Problems
CHAPTER 6 Passband Digital Transmission
6.1 Introduction
6.2 Passband Transmission Model
6.3 Coherent Phase-Shift Keying
6.4 Hybrid Amplitued/Phase Modulation Schemes
6.5 Coherent Frequency-Shift Keying
6.6 Detection of Signals with Unknown Phase
6.7 Noncoherent Orthogonal Modulation
6.8 Noncoherent Binary Frequency-Shift Keying
6.9 Differential Phase-Shift Keying
6.10 Comparison of Digital Modulation Schemes Using a Single Carrier
6.11 Voiceband Modems
6.12 Multichannel Modulation
6.13 Discrete Multitone
6.14 Synchronization
6.15 Computer Experiments:Carrier Recovery and Symbol Timing
6.16 Summary and Discussion
Notes and References
Problems
CHAPTER 7 Spread-Spectrum Modulation
7.1 Introduction
7.2 Pseudo-Noise Sequences
7.3 A Notion of Spread Spectrum
7.4 Direct-Sequence Spread Spectrum with Coherent Binary Phase-Shift Keying
7.5 Signal-Space Dimensionality and Processing Gain
7.6 Probability of Error
7.7 Frequency-Hop Spread Spectrum
7.8 Computer Experiments:Maximal-Length and Gold Codes
7.9 Summary and Discussion
Notes and References
Problems
CHAPTER 8 Multiuser Radio Communications
8.1 Introduction
8.2 Multiple-Access Techniques
8.3 Satellite Communications
8.4 Radio Link Analysis
8.5 Wireless Communications
8.6 Statistical Characterization of Multipath Channels
8.7 Binary Signaling over a Rayleigh Fading Channel
8.8 TDMA and CDMA Wireless Communication Systems
8.9 Source Coding of Speech for Wireless Communications
8.10 Adaptive Antenna Arrays for Wireless Communications
8.11 Summary and Discussion
Notes and References
Problems
CHAPTER 9 Fundamental Limits in Information Theory
9.1 Introduction
9.2 Uncertainty,Information,and Entropy
9.3 Source-Coding Theorem
9.4 Data Compaction
9.5 Discrete Memoryless Channels
9.6 Mutual Information
9.7 Channel Capacity
9.8 Channel-Coding Theorem
9.9 Differential Entropy and Mutual Information for Continuous Ensembles
9.10 Information Capacity Theorem
9.11 Implications of the Information Capacity Theorem
9.12 Information Capacity of Colored Noise Channel
9.13 Rate Distortion Theory
9.14 Data Compression
9.15 Summary and Discussion
Notes and References
Problems
CHAPTER 10 Error-Control Coding
10.1 Introduction
10.2 Discrete-Memoryless Channels
10.3 Linear Block Codes
10.4 Cyclic Codes
10.5 Convolutional Codes
10.6 Maximum Likelihood Decoding of Convolutional Codes
10.7 Trellis-Coded Modulation
10.8 Turbo Codes
10.9 Computer Experiment:Trubo Decoding
10.10 Low-Density Parity-Check Codes
10.11 Irregular Codes
10.12 Summary and Discussion
Notes and References
Problems
APPENDIX 1 Probability Theory
APPENDIX 2 Representation of Signals and Systems
APPENDIX 3 Bessel Functions
APPENDIX 4 Confluent Hypergeometric Functions
APPENDIX 5 Cryptography
APPENDIX 6 Tables
GLOSSARY
BIBLIOGRAPHY
INDEX
1.The Communicatin Process
2.Primary Communication Resources
3.Sources of Information
4.Communication Networks
5.Communication Channels
6.Modulation Process
7.Analog and Digital Types of Communication
8.Shannon's Information Capacity Theorem
9.A Digital Communication Problem
10.Historical Notes
Notes and References
CHAPTER 1 Random Processes
1.1 Introduction
1.2 Mathematical Definition of a Random Process
1.3 Stationary Processes
1.4 Mean,Correlation,and Covariance Functions
1.5 Ergodic Processes
1.6 Transmission of a Random Process Through a Linear Time-Invariant Filter
1.7 Power Spectral Density
1.8 Gaussian Process
1.9 Noise
1.10 Narrowband Noise
1.11 Representation of Narrowband Noise in Terms of In-phase and Quadrature Components
1.12 Representation of Narrowband Noise in Terms of Envelope and Phase Components
1.13 Sine Wave Plus Narrowband Noise
1.14 Computer Experiments:Flat-Fading Channel
1.15 Summary and Discussion
Notes and References
Problems
CHAPTER 2 Continuous-Wave Modulation
2.1 Introduction
2.2 Amplitude Modulation
2.3 Linear Modulation Schemes
2.4 Frequency Translation
2.5 Frequency-Division Multiplexing
2.6 Angle Modulation
2.7 Frequency Modulation
2.8 Nonlinear Effects in FM Systems
2.9 Superheterodyne Receiver
2.10 Noise in CW Modulation Systems
2.11 Noise in Linear Receivers using Coherent Detection
2.12 Noise in AM Receivers using Envelope Detection
2.13 Noise in FM Receivers
2.14 Computer Experiments:Phase-Locked Loop
2.15 Summary and Discussion
Notes and References
Problems
CHAPTER 3 Pulse Modulation
3.1 Introduction
3.2 Sampling Process
3.3 Pulse-Amplitude Modulation
3.4 Other Forms of Pulse Modulation
3.5 Bandwidth-Noise Trade-off
3.6 Quantization Process
3.7 Pulse-Code Modulation
3.8 Noise Considerations in PCM Systems
3.9 Time-Division Multiplexing
3.10 Digital Multiplexers
3.11 Virtues,Limitations,and Modifications of PCM
3.12 Delta Modulation
3.13 Linear Prediction
3.14 Differential Pulse-Code Modulation
3.15 Adaptive Differential Pulse-Code Modulation
3.16 Computer Experiment:Adaptive Delta Modulation
3.17 MPEG Audio Coding Standard
3.18 Summary and Discussion
Notes and References
Problems
CHAPTER 4 Baseband Pulse Transmission
4.1 Introduction
4.2 Matched Filter
4.3 Error Rate Due to Noise
4.4 Intersymbol Interference
4.5 Nyquist's Criterion for Distortionless Baseband Binary Transmission
4.6 Correlative-Level Coding
4.7 Baseband M-ary PAM Transmission
4.8 Digital Subscriber Lines
4.9 Optimum Linear Receiver
4.10 Adaptive Equzlization
4.11 Computer Experiments:Eye Patterns
4.12 Summary and Discussion
Notes and References
Problems
CHAPTER 5 Signal-Space Analysis
5.1 Introduction
5.2 Geometric Representation of Signals
5.3 Conversion of the Continuous AWGN Channel into a Vector Channel
5.4 Likelisood Functions
5.5 Coherent Detection of Signals in Noise:Maximum Likelihood Decoding
5.6 Correlation Receiver
5.7 Probability of Error
5.8 Summary and Discussion
Notes and References
Problems
CHAPTER 6 Passband Digital Transmission
6.1 Introduction
6.2 Passband Transmission Model
6.3 Coherent Phase-Shift Keying
6.4 Hybrid Amplitued/Phase Modulation Schemes
6.5 Coherent Frequency-Shift Keying
6.6 Detection of Signals with Unknown Phase
6.7 Noncoherent Orthogonal Modulation
6.8 Noncoherent Binary Frequency-Shift Keying
6.9 Differential Phase-Shift Keying
6.10 Comparison of Digital Modulation Schemes Using a Single Carrier
6.11 Voiceband Modems
6.12 Multichannel Modulation
6.13 Discrete Multitone
6.14 Synchronization
6.15 Computer Experiments:Carrier Recovery and Symbol Timing
6.16 Summary and Discussion
Notes and References
Problems
CHAPTER 7 Spread-Spectrum Modulation
7.1 Introduction
7.2 Pseudo-Noise Sequences
7.3 A Notion of Spread Spectrum
7.4 Direct-Sequence Spread Spectrum with Coherent Binary Phase-Shift Keying
7.5 Signal-Space Dimensionality and Processing Gain
7.6 Probability of Error
7.7 Frequency-Hop Spread Spectrum
7.8 Computer Experiments:Maximal-Length and Gold Codes
7.9 Summary and Discussion
Notes and References
Problems
CHAPTER 8 Multiuser Radio Communications
8.1 Introduction
8.2 Multiple-Access Techniques
8.3 Satellite Communications
8.4 Radio Link Analysis
8.5 Wireless Communications
8.6 Statistical Characterization of Multipath Channels
8.7 Binary Signaling over a Rayleigh Fading Channel
8.8 TDMA and CDMA Wireless Communication Systems
8.9 Source Coding of Speech for Wireless Communications
8.10 Adaptive Antenna Arrays for Wireless Communications
8.11 Summary and Discussion
Notes and References
Problems
CHAPTER 9 Fundamental Limits in Information Theory
9.1 Introduction
9.2 Uncertainty,Information,and Entropy
9.3 Source-Coding Theorem
9.4 Data Compaction
9.5 Discrete Memoryless Channels
9.6 Mutual Information
9.7 Channel Capacity
9.8 Channel-Coding Theorem
9.9 Differential Entropy and Mutual Information for Continuous Ensembles
9.10 Information Capacity Theorem
9.11 Implications of the Information Capacity Theorem
9.12 Information Capacity of Colored Noise Channel
9.13 Rate Distortion Theory
9.14 Data Compression
9.15 Summary and Discussion
Notes and References
Problems
CHAPTER 10 Error-Control Coding
10.1 Introduction
10.2 Discrete-Memoryless Channels
10.3 Linear Block Codes
10.4 Cyclic Codes
10.5 Convolutional Codes
10.6 Maximum Likelihood Decoding of Convolutional Codes
10.7 Trellis-Coded Modulation
10.8 Turbo Codes
10.9 Computer Experiment:Trubo Decoding
10.10 Low-Density Parity-Check Codes
10.11 Irregular Codes
10.12 Summary and Discussion
Notes and References
Problems
APPENDIX 1 Probability Theory
APPENDIX 2 Representation of Signals and Systems
APPENDIX 3 Bessel Functions
APPENDIX 4 Confluent Hypergeometric Functions
APPENDIX 5 Cryptography
APPENDIX 6 Tables
GLOSSARY
BIBLIOGRAPHY
INDEX
Simon Haykin，IEEE会士，毕业于英国伯明翰大学电子工程系。加拿大McMaster大学电子与计算机工程系教授，通信研究实验室主任。研究方向包括非线性动力学、神经网络和自适应滤波器及其应用。
《通信系统（第4版）（英文版）》对通信系统的基础理论和关键环节进行了深入分析，力图让学生在讨论中领会通信的精髓。《通信系统（第4版）（英文版）》首先给出通信系统的梗概及需要研究的关键技术，接着分章详细讨论了随机过程、连续波调制、脉冲调制、基带脉冲传输、信号空间分析、带通数字传输、扩频调制、多用户无线通信、信息论基础和差错控制编码等，各章都附有大量的习题，便于学生实践。书中还给出了很有价值的附录，包括概率论、信号和系统描述、贝塞尔函数、超几何分布函数汇总、密码学方面的介绍以及一些有用的图表等。《通信系统（第4版）（英文版）》强调通信理论的统计基础，并给出了用MATLAB模拟的8个计算机实验，这些实验几乎覆盖了各章节的主要内容，形成了独特的通信理论“软件实验室”。
《通信系统（第4版）（英文版）》可以作为高等院校通信类、信息类、电子类、计算机类等专业的研究生或高年级本科生双语教学的教材，也可供有关的科研和管理人员参考。
《通信系统（第4版）（英文版）》可以作为高等院校通信类、信息类、电子类、计算机类等专业的研究生或高年级本科生双语教学的教材，也可供有关的科研和管理人员参考。
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