通信系统(第四版) 🔍
西蒙赫金(Simon Haykin)
电子工业出版社, 2006
英语 [en] · 中文 [zh] · PDF · 18.4MB · 2006 · 📘 非小说类图书 · 🚀/duxiu/lgli/zlib · Save
描述
通信专业教材
备用文件名
zlib/no-category/西蒙赫金(Simon Haykin)/通信系统(第四版)_21226814.pdf
备选标题
Communication Systems 4th Edition
备选标题
Communications Systems
备选作者
Simon S. Haykin
备选作者
Haykin, Simon
备用出版商
Jossey-Bass, Incorporated Publishers
备用出版商
John Wiley & Sons, Incorporated
备用出版商
WILEY COMPUTING Publisher
备用版本
4th ed., New York, New York State, 2001
备用版本
United States, United States of America
备用版本
4th ed, New York, 2000, cop. 2001
备用版本
Fourth Edition, PS, 2000
备用版本
May 15, 2000
元数据中的注释
Includes bibliographical references (p. 777-791) and index.
元数据中的注释
Type: 英文图书
元数据中的注释
Bookmarks:
1. (p1) Background and Preview
1.1. (p2) 1. The Communication Process
1.2. (p3) 2. Primary Communication Resources
1.3. (p4) 3. Sources of Information
1.4. (p5) 4. Communication Networks
1.5. (p6) 5. Communication Channels
1.6. (p7) 6. Modulation Process
1.7. (p8) 7. Analog and Digital Types of Communication
1.8. (p9) 8. Shannon's Information Capacity Theorem
1.9. (p10) 9. A Digital Communication Problem
1.10. (p11) 10. Historical Notes
1.11. (p12) Notes and References
2. (p13) Chapter 1 Random Processes
2.1. (p14) 1.1 Introduction
2.2. (p15) 1.2 Mathematical Definition of a Random Process
2.3. (p16) 1.3 Stationary Processes
2.4. (p17) 1.4 Mean, Correlation, and Co variance Functions
2.5. (p18) 1.5 Ergodic Processes
2.6. (p19) 1.6 Transmission of a Random Process Through a Linear Time-Invariant Filter
2.7. (p20) 1.7 Power Spectral Density
2.8. (p21) 1.8 Gaussian Process
2.9. (p22) 1.9 Noise
2.10. (p23) 1.10 Narrowband Noise
2.11. (p24) 1.11 Representation of Narrowband Noise in Terms of In-phase and Quadrature Components
2.12. (p25) 1.12 Representation of Narrowband Noise in Terms of Envelope and Phase Components
2.13. (p26) 1.13 Sine Wave Plus Narrowband Noise
2.14. (p27) 1.14 Computer Experiments: Flat-Fading Channel
2.15. (p28) 1.15 Summary and Discussion
2.16. (p29) Notes and References
2.17. (p30) Problems
3. (p31) Chapter 2 Continuous-Wave Modulation
3.1. (p32) 2.1 Introduction
3.2. (p33) 2.2 Amplitude Modulation
3.3. (p34) 2.3 Linear Modulation Schemes
3.4. (p35) 2.4 Frequency Translation
3.5. (p36) 2.5 Frequency-Division Multiplexing
3.6. (p37) 2.6 Angle Modulation
3.7. (p38) 2.7 Frequency Modulation
3.8. (p39) 2.8 Nonlinear Effects in FM Systems
3.9. (p40) 2.9 Superheterodyne Receiver
3.10. (p41) 2.10 Noise in CW Modulation Systems
3.11. (p42) 2.11 Noise in Linear Receivers using Coherent Detection
3.12. (p43) 2.12 Noise in AM Receivers using Envelope Detection
3.13. (p44) 2.13 Noise in FM Receivers
3.14. (p45) 2.14 Computer Experiments: Phase-locked Loop
3.15. (p46) 2.15 Summary and Discussion
3.16. (p47) Notes and References
3.17. (p48) Problems
4. (p49) Chapter 3 Pulse Modulation
4.1. (p50) 3.1 Introduction
4.2. (p51) 3.2 Sampling Process
4.3. (p52) 3.3 Pulse-Amplitude Modulation
4.4. (p53) 3.4 Other Forms of Pulse Modulation
4.5. (p54) 3.5 Bandwidth-Noise Trade-off
4.6. (p55) 3.6 Quantization Process
4.7. (p56) 3.7 Pulse-Code Modulation
4.8. (p57) 3.8 Noise Considerations in PCM Systems
4.9. (p58) 3.9 Time-Division Multiplexing
4.10. (p59) 3.10 Digital Multiplexers
4.11. (p60) 3.11 Virtues, Limitations, and Modifications of PCM
4.12. (p61) 3.12 Delta Modulation
4.13. (p62) 3.13 Linear Prediction
4.14. (p63) 3.14 Differential Pulse-Code Modulation
4.15. (p64) 3.15 Adaptive Differential Pulse-Code Modulation
4.16. (p65) 3.16 Computer Experiment: Adaptive Delta Modulation
4.17. (p66) 3.17 MPEG Audio Coding Standard
4.18. (p67) 3.18 Summary and Discussion
4.19. (p68) Notes and References
4.20. (p69) Problems
5. (p70) Chapter 4 Baseband Pulse Transmission
5.1. (p71) 4.1 Introduction
5.2. (p72) 4.2 Matched Filter
5.3. (p73) 4.3 Error Rate Due to Noise
5.4. (p74) 4.4 Intersymbol Interference
5.5. (p75) 4.5 Nyquist's Criterion for Distortionless Baseband Binary Transmission
5.6. (p76) 4.6 Correlative-Level Coding
5.7. (p77) 4.7 Baseband M-ary PAM Transmission
5.8. (p78) 4.8 Digital Subscriber Lines
5.9. (p79) 4.9 Optimum Linear Receiver
5.10. (p80) 4.10 Adaptive Equalization
5.11. (p81) 4.11 Computer Experiments: Eye Patterns
5.12. (p82) 4.12 Summary and Discussion
5.13. (p83) Notes and References
5.14. (p84) Problems
6. (p85) Chapter 5 Signal-Space Analysis
6.1. (p86) 5.1 Introduction
6.2. (p87) 5.2 Geometric Representation of Signals
6.3. (p88) 5.3 Conversion of the Continuous AWGN Channel into a Vector Channel
6.4. (p89) 5.4 Likelihood Functions
6.5. (p90) 5.5 Coherent Detection of Signals in Noise: Maximum Likelihood Decoding
6.6. (p91) 5.6 Correlation Receiver
6.7. (p92) 5.7 Probability of Error
6.8. (p93) 5.8 Summary and Discussion
6.9. (p94) Notes and References
6.10. (p95) Problems
7. (p96) Chapter 6 Passband Digital Transmission
7.1. (p97) 6.1 Introduction
7.2. (p98) 6.2 Passband Transmission Model
7.3. (p99) 6.3 Coherent Phase-Shift Keying
7.4. (p100) 6.4 Hybrid Amplitude/Phase Modulation Schemes
7.5. (p101) 6.5 Coherent Frequency-Shift Keying
7.6. (p102) 6.6 Detection of Signals with Unknown Phase
7.7. (p103) 6.7 Noncoherent Orthogonal Modulation
7.8. (p104) 6.8 Noncoherent Binary Frequency-Shift Keying
7.9. (p105) 6.9 Differential Phase-Shift Keying
7.10. (p106) 6.10 Comparison of Digital Modulation Schemes Using a Single Carrier
7.11. (p107) 6.11 Voiceband Modems
7.12. (p108) 6.12 Multichannel Modulation
7.13. (p109) 6.13 Discrete Multitone
7.14. (p110) 6.14 Synchronization
7.15. (p111) 6.15 Computer Experiments: Carrier Recovery and Symbol Timing
7.16. (p112) 6.16 Summary and Discussion
7.17. (p113) Notes and References
7.18. (p114) Problems
8. (p115) Chapter 7 Spread-Spectrum Modulation
8.1. (p116) 7.1 Introduction
8.2. (p117) 7.2 Pseudo-Noise Sequences
8.3. (p118) 7.3 A Notion of Spread Spectrum
8.4. (p119) 7.4 Direct-Sequence Spread Spectrum with Coherent Binary Phase-Shift Keying
8.5. (p120) 7.5 Signal-Space Dimensionality and Processing Gain
8.6. (p121) 7.6 Probability of Error
8.7. (p122) 7.7 Frequency-Hop Spread Spectrum
8.8. (p123) 7.8 Computer Experiments: Maximal-Length and Gold Codes
8.9. (p124) 7.9 Summary and Discussion
8.10. (p125) Notes and References
8.11. (p126) Problems
9. (p127) Chapter 8 Multiuser Radio Communications
9.1. (p128) 8.1 Introduction
9.2. (p129) 8.2 Multiple-Access Techniques
9.3. (p130) 8.3 Satellite Communications
9.4. (p131) 8.4 Radio Link Analysis
9.5. (p132) 8.5 Wireless Communications
9.6. (p133) 8.6 Statistical Characterization of Multipath Channels
9.7. (p134) 8.7 Binary Signaling over a Rayleigh Fading Channel
9.8. (p135) 8.8 TDMA and CDMA Wireless Communication Systems
9.9. (p136) 8.9 Source Coding of Speech for Wireless Communications
9.10. (p137) 8.10 Adaptive Antenna Arrays for Wireless Communications
9.11. (p138) 8.11 Summary and Discussion
9.12. (p139) Notes and References
9.13. (p140) Problems
10. (p141) Chapter 9 Fundamental Limits in Information Theory
10.1. (p142) 9.1 Introduction
10.2. (p143) 9.2 Uncertainty, Information, and Entropy
10.3. (p144) 9.3 Source-Coding Theorem
10.4. (p145) 9.4 Data Compaction
10.5. (p146) 9.5 Discrete Memoryless Channels
10.6. (p147) 9.6 Mutual Information
10.7. (p148) 9.7 Channel Capacity
10.8. (p149) 9.8 Channel-Coding Theorem
10.9. (p150) 9.9 Differential Entropy and Mutual Information for Continuous Ensembles
10.10. (p151) 9.10 Information Capacity Theorem
10.11. (p152) 9.11 Implications of the Information Capacity Theorem
10.12. (p153) 9.12 Information Capacity of Colored Noise Channel
10.13. (p154) 9.13 Rate Distortion Theory
10.14. (p155) 9.14 Data Compression
10.15. (p156) 9.15 Summary and Discussion
10.16. (p157) Notes and References
10.17. (p158) Problems
11. (p159) Chapter 10 Error-Control Coding
12. (p174) Appendix 1 Probability Theory
13. (p175) APPENDIX 2 Representation of Signals and Systems
14. (p176) Appendix 3 Bessel Functions
15. (p177) APPENDIX 4 Confluent Hypergeometric Functions
16. (p178) Appendix 5 Cryptography
17. (p179) Appendix 6 Tables
18. (p180) Glossary
19. (p181) Bibliography
20. (p182) Index
1. (p1) Background and Preview
1.1. (p2) 1. The Communication Process
1.2. (p3) 2. Primary Communication Resources
1.3. (p4) 3. Sources of Information
1.4. (p5) 4. Communication Networks
1.5. (p6) 5. Communication Channels
1.6. (p7) 6. Modulation Process
1.7. (p8) 7. Analog and Digital Types of Communication
1.8. (p9) 8. Shannon's Information Capacity Theorem
1.9. (p10) 9. A Digital Communication Problem
1.10. (p11) 10. Historical Notes
1.11. (p12) Notes and References
2. (p13) Chapter 1 Random Processes
2.1. (p14) 1.1 Introduction
2.2. (p15) 1.2 Mathematical Definition of a Random Process
2.3. (p16) 1.3 Stationary Processes
2.4. (p17) 1.4 Mean, Correlation, and Co variance Functions
2.5. (p18) 1.5 Ergodic Processes
2.6. (p19) 1.6 Transmission of a Random Process Through a Linear Time-Invariant Filter
2.7. (p20) 1.7 Power Spectral Density
2.8. (p21) 1.8 Gaussian Process
2.9. (p22) 1.9 Noise
2.10. (p23) 1.10 Narrowband Noise
2.11. (p24) 1.11 Representation of Narrowband Noise in Terms of In-phase and Quadrature Components
2.12. (p25) 1.12 Representation of Narrowband Noise in Terms of Envelope and Phase Components
2.13. (p26) 1.13 Sine Wave Plus Narrowband Noise
2.14. (p27) 1.14 Computer Experiments: Flat-Fading Channel
2.15. (p28) 1.15 Summary and Discussion
2.16. (p29) Notes and References
2.17. (p30) Problems
3. (p31) Chapter 2 Continuous-Wave Modulation
3.1. (p32) 2.1 Introduction
3.2. (p33) 2.2 Amplitude Modulation
3.3. (p34) 2.3 Linear Modulation Schemes
3.4. (p35) 2.4 Frequency Translation
3.5. (p36) 2.5 Frequency-Division Multiplexing
3.6. (p37) 2.6 Angle Modulation
3.7. (p38) 2.7 Frequency Modulation
3.8. (p39) 2.8 Nonlinear Effects in FM Systems
3.9. (p40) 2.9 Superheterodyne Receiver
3.10. (p41) 2.10 Noise in CW Modulation Systems
3.11. (p42) 2.11 Noise in Linear Receivers using Coherent Detection
3.12. (p43) 2.12 Noise in AM Receivers using Envelope Detection
3.13. (p44) 2.13 Noise in FM Receivers
3.14. (p45) 2.14 Computer Experiments: Phase-locked Loop
3.15. (p46) 2.15 Summary and Discussion
3.16. (p47) Notes and References
3.17. (p48) Problems
4. (p49) Chapter 3 Pulse Modulation
4.1. (p50) 3.1 Introduction
4.2. (p51) 3.2 Sampling Process
4.3. (p52) 3.3 Pulse-Amplitude Modulation
4.4. (p53) 3.4 Other Forms of Pulse Modulation
4.5. (p54) 3.5 Bandwidth-Noise Trade-off
4.6. (p55) 3.6 Quantization Process
4.7. (p56) 3.7 Pulse-Code Modulation
4.8. (p57) 3.8 Noise Considerations in PCM Systems
4.9. (p58) 3.9 Time-Division Multiplexing
4.10. (p59) 3.10 Digital Multiplexers
4.11. (p60) 3.11 Virtues, Limitations, and Modifications of PCM
4.12. (p61) 3.12 Delta Modulation
4.13. (p62) 3.13 Linear Prediction
4.14. (p63) 3.14 Differential Pulse-Code Modulation
4.15. (p64) 3.15 Adaptive Differential Pulse-Code Modulation
4.16. (p65) 3.16 Computer Experiment: Adaptive Delta Modulation
4.17. (p66) 3.17 MPEG Audio Coding Standard
4.18. (p67) 3.18 Summary and Discussion
4.19. (p68) Notes and References
4.20. (p69) Problems
5. (p70) Chapter 4 Baseband Pulse Transmission
5.1. (p71) 4.1 Introduction
5.2. (p72) 4.2 Matched Filter
5.3. (p73) 4.3 Error Rate Due to Noise
5.4. (p74) 4.4 Intersymbol Interference
5.5. (p75) 4.5 Nyquist's Criterion for Distortionless Baseband Binary Transmission
5.6. (p76) 4.6 Correlative-Level Coding
5.7. (p77) 4.7 Baseband M-ary PAM Transmission
5.8. (p78) 4.8 Digital Subscriber Lines
5.9. (p79) 4.9 Optimum Linear Receiver
5.10. (p80) 4.10 Adaptive Equalization
5.11. (p81) 4.11 Computer Experiments: Eye Patterns
5.12. (p82) 4.12 Summary and Discussion
5.13. (p83) Notes and References
5.14. (p84) Problems
6. (p85) Chapter 5 Signal-Space Analysis
6.1. (p86) 5.1 Introduction
6.2. (p87) 5.2 Geometric Representation of Signals
6.3. (p88) 5.3 Conversion of the Continuous AWGN Channel into a Vector Channel
6.4. (p89) 5.4 Likelihood Functions
6.5. (p90) 5.5 Coherent Detection of Signals in Noise: Maximum Likelihood Decoding
6.6. (p91) 5.6 Correlation Receiver
6.7. (p92) 5.7 Probability of Error
6.8. (p93) 5.8 Summary and Discussion
6.9. (p94) Notes and References
6.10. (p95) Problems
7. (p96) Chapter 6 Passband Digital Transmission
7.1. (p97) 6.1 Introduction
7.2. (p98) 6.2 Passband Transmission Model
7.3. (p99) 6.3 Coherent Phase-Shift Keying
7.4. (p100) 6.4 Hybrid Amplitude/Phase Modulation Schemes
7.5. (p101) 6.5 Coherent Frequency-Shift Keying
7.6. (p102) 6.6 Detection of Signals with Unknown Phase
7.7. (p103) 6.7 Noncoherent Orthogonal Modulation
7.8. (p104) 6.8 Noncoherent Binary Frequency-Shift Keying
7.9. (p105) 6.9 Differential Phase-Shift Keying
7.10. (p106) 6.10 Comparison of Digital Modulation Schemes Using a Single Carrier
7.11. (p107) 6.11 Voiceband Modems
7.12. (p108) 6.12 Multichannel Modulation
7.13. (p109) 6.13 Discrete Multitone
7.14. (p110) 6.14 Synchronization
7.15. (p111) 6.15 Computer Experiments: Carrier Recovery and Symbol Timing
7.16. (p112) 6.16 Summary and Discussion
7.17. (p113) Notes and References
7.18. (p114) Problems
8. (p115) Chapter 7 Spread-Spectrum Modulation
8.1. (p116) 7.1 Introduction
8.2. (p117) 7.2 Pseudo-Noise Sequences
8.3. (p118) 7.3 A Notion of Spread Spectrum
8.4. (p119) 7.4 Direct-Sequence Spread Spectrum with Coherent Binary Phase-Shift Keying
8.5. (p120) 7.5 Signal-Space Dimensionality and Processing Gain
8.6. (p121) 7.6 Probability of Error
8.7. (p122) 7.7 Frequency-Hop Spread Spectrum
8.8. (p123) 7.8 Computer Experiments: Maximal-Length and Gold Codes
8.9. (p124) 7.9 Summary and Discussion
8.10. (p125) Notes and References
8.11. (p126) Problems
9. (p127) Chapter 8 Multiuser Radio Communications
9.1. (p128) 8.1 Introduction
9.2. (p129) 8.2 Multiple-Access Techniques
9.3. (p130) 8.3 Satellite Communications
9.4. (p131) 8.4 Radio Link Analysis
9.5. (p132) 8.5 Wireless Communications
9.6. (p133) 8.6 Statistical Characterization of Multipath Channels
9.7. (p134) 8.7 Binary Signaling over a Rayleigh Fading Channel
9.8. (p135) 8.8 TDMA and CDMA Wireless Communication Systems
9.9. (p136) 8.9 Source Coding of Speech for Wireless Communications
9.10. (p137) 8.10 Adaptive Antenna Arrays for Wireless Communications
9.11. (p138) 8.11 Summary and Discussion
9.12. (p139) Notes and References
9.13. (p140) Problems
10. (p141) Chapter 9 Fundamental Limits in Information Theory
10.1. (p142) 9.1 Introduction
10.2. (p143) 9.2 Uncertainty, Information, and Entropy
10.3. (p144) 9.3 Source-Coding Theorem
10.4. (p145) 9.4 Data Compaction
10.5. (p146) 9.5 Discrete Memoryless Channels
10.6. (p147) 9.6 Mutual Information
10.7. (p148) 9.7 Channel Capacity
10.8. (p149) 9.8 Channel-Coding Theorem
10.9. (p150) 9.9 Differential Entropy and Mutual Information for Continuous Ensembles
10.10. (p151) 9.10 Information Capacity Theorem
10.11. (p152) 9.11 Implications of the Information Capacity Theorem
10.12. (p153) 9.12 Information Capacity of Colored Noise Channel
10.13. (p154) 9.13 Rate Distortion Theory
10.14. (p155) 9.14 Data Compression
10.15. (p156) 9.15 Summary and Discussion
10.16. (p157) Notes and References
10.17. (p158) Problems
11. (p159) Chapter 10 Error-Control Coding
12. (p174) Appendix 1 Probability Theory
13. (p175) APPENDIX 2 Representation of Signals and Systems
14. (p176) Appendix 3 Bessel Functions
15. (p177) APPENDIX 4 Confluent Hypergeometric Functions
16. (p178) Appendix 5 Cryptography
17. (p179) Appendix 6 Tables
18. (p180) Glossary
19. (p181) Bibliography
20. (p182) Index
备用描述
This best-selling, easy-to-read, communication systems text has been extensively revised to include the most exhaustive treatment of digital communications in an undergraduate level text. In addition to being the most up-to-date communications text available, Simon Haykin has added MATLAB computer experiments.
备用描述
A comprehensive resource guide to digital communications featuring the theories and principles behind advanced communications systems
备用描述
Today, communication enters our daily lives in so many different ways that it is very easy to overlook the multitude of its facets.
开源日期
2022-03-31
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