本書對通信系統的基礎理論和關鍵環節進行了深入分析，力圖讓學生在討論中領會通信的精髓。全書首先給出通信系統的梗概及需要研究的關鍵技術，接著分章詳細討論了隨機過程、連續波調制、脈沖調制、基帶脈沖傳輸、信號空間分析、帶通數字傳輸、擴頻調制、多用戶無線通信、信息論基礎和差錯控制編碼等，各章都附有大量的習題，便于學生實踐。本書強調通信理論的統計基礎，并給出了用MATLAB模擬的8個計算機實驗，這些實驗幾乎覆蓋了各章節的主要內容，形成了獨特的通信理論“軟件實驗室”。
Simon Haykin IEEE會士，加拿大皇家學會會士，畢業于英國伯明翰大學電子工程系。現為加拿大McMaster大學的Distinguished University教授，認知系統實驗室主任。2002年獲國際無線電科學聯盟(URSI）頒發的Henry Booker金質獎章。在無線通信與信號處理領域的多個方面著述頗豐，主要研究方向為自適應信號處理與智能信號處理、無線通信與雷達技術，近年來特別關注認知無線電和認知雷達方面的研究。
本書特點
● 演示通信理論主要內容的MATLAB實驗
● 新興數字技術的延伸，如數字用戶線（DSL）、無載波振幅調制/相位調制（CAP）及離散多音（DMT）等
● 數十個將理論與實際通信系統相結合的實例
● 通過精心組織，系統地指導學生學習從脈沖調制到帶通數據傳輸、從隨機過程到差錯控制編碼等知識。全書以深入淺出的語言向學生傳授了深奧的概念。
Simon Haykin IEEE會士，加拿大皇家學會會士，畢業于英國伯明翰大學電子工程系。現為加拿大McMaster大學的Distinguished University教授，認知系統實驗室主任。2002年獲國際無線電科學聯盟(URSI）頒發的Henry Booker金質獎章。在無線通信與信號處理領域的多個方面著述頗豐，主要研究方向為自適應信號處理與智能信號處理、無線通信與雷達技術，近年來特別關注認知無線電和認知雷達方面的研究。
本書特點
● 演示通信理論主要內容的MATLAB實驗
● 新興數字技術的延伸，如數字用戶線（DSL）、無載波振幅調制/相位調制（CAP）及離散多音（DMT）等
● 數十個將理論與實際通信系統相結合的實例
● 通過精心組織，系統地指導學生學習從脈沖調制到帶通數據傳輸、從隨機過程到差錯控制編碼等知識。全書以深入淺出的語言向學生傳授了深奧的概念。
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畢業于英國伯明翰大學電子工程系。加拿大McMaster大學的Distinguished University教授，認知系統實驗室主任。加拿大皇家學會會士，IEEE會士。2002年獲國際無線電科學聯盟(URSI）頒發的Henry Booker金質獎章。研究方向為自適應信號處理，并側重雷達與通信技術。近年來開展了認知無線電和認知雷達方面的研究工作。
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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