| 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。 |
| 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. Shannons 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 Nyquists 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 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 |
![MPLS技术与实现[按需印刷]](http://images.china-pub.com/ebook/8455/zcover.jpg)
内容加载中，请稍后...
商品评论（0条）