本书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。全书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。本书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”。
Simon Haykin IEEE会士，加拿大皇家学会会士，毕业于英国伯明翰大学电子工程系。现为加拿大McMaster大学的Distinguished University教授，认知系统实验室主任。2002年获国际无线电科学联盟(URSI）颁发的Henry Booker金质奖章。在无线通信与信号处理领域的多个方面著述颇丰，主要研究方向为自适应信号处理与智能信号处理、无线通信与雷达技术，近年来特别关注认知无线电和认知雷达方面的研究。
本书特点
● 演示通信理论主要内容的MATLAB实验
● 新兴数字技术的延伸，如数字用户线（DSL）、无载波振幅调制/相位调制（CAP）及离散多音（DMT）等
● 数十个将理论与实际通信系统相结合的实例
● 通过精心组织，系统地指导学生学习从脉冲调制到带通数据传输、从随机过程到差错控制编码等知识。全书以深入浅出的语言向学生传授了深奥的概念。
Simon Haykin IEEE会士，加拿大皇家学会会士，毕业于英国伯明翰大学电子工程系。现为加拿大McMaster大学的Distinguished University教授，认知系统实验室主任。2002年获国际无线电科学联盟(URSI）颁发的Henry Booker金质奖章。在无线通信与信号处理领域的多个方面著述颇丰，主要研究方向为自适应信号处理与智能信号处理、无线通信与雷达技术，近年来特别关注认知无线电和认知雷达方面的研究。
本书特点
● 演示通信理论主要内容的MATLAB实验
● 新兴数字技术的延伸，如数字用户线（DSL）、无载波振幅调制/相位调制（CAP）及离散多音（DMT）等
● 数十个将理论与实际通信系统相结合的实例
● 通过精心组织，系统地指导学生学习从脉冲调制到带通数据传输、从随机过程到差错控制编码等知识。全书以深入浅出的语言向学生传授了深奥的概念。
Preface
Electrical engineering education has undergone some radical changes during the past couple of decades and continues to do so. A modem undergraduate program in electrical engineering includes the following two introductory courses:
● Signals and Systems, which provides a balanced and integrated treatment of continuous-time and discrete-time forms of signals and systems. The Fourier transform (in its different forms), Laplace transform, and z-transform are treated in detail. Typically, the course also includes an elementary treatment of communication systems.
● Probability and Random Processes, which develops an intuitive grasp of discrete and continuous random variables and then introduces the notion of a random process and its characteristics. Typically, these two introductory courses lead to a senior-level course on communication systems.
The fourth edition of this book has been written with this background and primary objective in mind. Simply put, the book provides a modern treatment of communication systems at a level suitable for a one- or two-semester senior undergraduate course. The emphasis is on the statistical underpinnings of communication theory with applications.
The material is presented in a logical manner, and it is illustrated with examples, with the overall aim being that of helping the student develop an intuitive grasp of the theory under discussion. Except for the Background and Preview chapter, each chapter ends with numerous problems designed not only to help the students test their understanding of the material covered in the chapter but also to challenge them to extend this material. Every chapter includes notes and references that provide suggestions for further reading. Sections or subsections that can be bypassed without loss of continuity are identified with a footnote.
A distinctive feature of the book is the inclusion of eight computer experiments using MATLAB. This set of experiments provides the basis of a "software Laboratory", with each experiment being designed to extend the material covered in the pertinent chapter. Most important, the experiments exploit the unique capabilities of MATLAB in an instructive manner. The MATLAB codes for all these experiments are available on the Wiley Web site: http://www.wiley.com/college/haykin/.
The Background and Preview chapter presents introductory and motivational material, paving the way for detailed treatment of the many facets of communication systems in the subsequent 10 chapters. The material in these chapters is organized as follows:
● Chapter 1 develops a detailed treatment of random, or stochastic, processes, with particular emphasis on their partial characterization (i.e., second-order statistics). In effect, the discussion is restricted to wide-sense stationary processes. The correlation properties and power spectra of random processes are described in detail. Gaussian processes and narrowband noise feature prominently in the study of communication systems hence their treatment in the latter part of the chapter. This treatment naturally leads to the consideration of the Rayleigh and Rician distributions that arise in a communications environment.
● Chapter 2 presents an integrated treatment of continuous-wave (CW) modulation (i.e., analog communications) and their different types, as outlined here:
(i) Amplitude modulation, which itself can assume one of the following forms (depending on how the spectral characteristics of the modulated wave are specified):
★ Full amplitude modulation
★ Double sideband-suppressed carrier modulation
★ Quadrature amplitude modulation
★ Single sideband modulation
★ Vestigia
Simon Haykin毕业于英国伯明翰大学电子工程系。加拿大McMaster大学的Distinguished University教授，认知系统实验室主任。加拿大皇家学会会士，IEEE会士。2002年获国际无线电科学联盟(URSI）颁发的Henry Booker金质奖章。研究方向为自适应信号处理，并侧重雷达与通信技术。近年来开展了认知无线电和认知雷达方面的研究工作。
BACKGROUND AND PREVIEW
1. The Communication 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 BACKGROUND AND PREVIEW
1. The Communication 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 Equalization
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 Likelihood 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 Amplitude/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 Spectru
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