Simon Haykin：IEEE會士，畢業(yè)于英國伯明翰大學(xué)電子工程系。加拿大McMaster學(xué)電子與計算機工程系教授，通信研究實驗室主任。研究方向包括非線性動力學(xué)，神經(jīng)網(wǎng)絡(luò)和自適應(yīng)濾波器及其應(yīng)用。已出版了多本專著，其中包括《神經(jīng)網(wǎng)絡(luò)（第二版）》、《智能信號處理》、《自適應(yīng)濾波器原理（第四版）》、《信號與系統(tǒng)（第二版）》等。
圖書目錄
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
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