An Introduction to Analog and Digital Communications by Simon S. Haykin, Michael Moher

Book Name: An Introduction to Analog and Digital Communications

Author: Simon S. Haykin, Michael Moher 

Edition:Second
Pages: 537

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Content

1 Introduction 
1.1 Historical Background
1.2 Applications
1.3 Primary Resources and Operational Requirements
1.4 Underpinning Theories of Communication Systems
1.5 Concluding Remarks
2 Fourier Representation of Signals and Systems 
2.1 The Fourier Transform
2.2 Properties of the Fourier Transform
2.3 The Inverse Relationship Between Time and Frequency
2.4 Dirac Delta Function
2.5 Fourier Transforms of Periodic Signals
2.6 Transmission of Signals Through Linear Systems: Convolution
Revisited
2.7 Ideal Low-pass Filters
2.8 Correlation and Spectral Density: Energy Signals
2.9 Power Spectral Density
2.10 Numerical Computation of the Fourier Transform
2.11 Theme Example: Twisted Pairs for Telephony
2.12 Summary and Discussion
Additional Problems
Advanced Problems
3 Amplitude Modulation 
3.1 Amplitude Modulation
3.2 Virtues, Limitations, and Modifications of Amplitude Modulation
3.3 Double Sideband-Suppressed Carrier Modulation
3.4 Costas Receiver
APPENDIX 1 POWER RATIOS AND DECIBEL
3.5 Quadrature-Carrier Multiplexing
3.6 Single-Sideband Modulation
3.7 Vestigial Sideband Modulation
3.8 Baseband Representation of Modulated Waves and Band-Pass
Filters
3.9 Theme Examples
3.10 Summary and Discussion
Additional Problems
Advanced Problems
4 Angle Modulation 
4.1 Basic Definitions
4.2 Properties of Angle-Modulated Waves
4.3 Relationship between PM and FM Waves
4.4 Narrow-Band Frequency Modulation
4.5 Wide-Band Frequency Modulation
4.6 Transmission Bandwidth of FM Waves
4.7 Generation of FM Waves
4.8 Demodulation of FM Signals
4.9 Theme Example: FM Stereo Multiplexing
4.10 Summary and Discussion
Additional Problems
Advanced Problems
5 Pulse Modulation:Transition from Analog to Digital
Communications 
5.1 Sampling Process
5.2 Pulse-Amplitude Modulation
5.3 Pulse-Position Modulation
5.4 Completing the Transition from Analog to Digital
5.5 Quantization Process
5.6 Pulse-Code Modulation
5.7 Delta Modulation
5.8 Differential Pulse-Code Modulation
5.9 Line Codes
5.10 Theme Examples
5.11 Summary and Discussion
Additional Problems
Advanced Problems
6 Baseband Data Transmission 
6.1 Baseband Transmission of Digital Data
6.2 The Intersymbol Interference Problem
6.3 The Nyquist Channel
6.4 Raised-Cosine Pulse Spectrum
6.5 Baseband Transmission of M-ary Data
6.6 The Eye Pattern
6.7 Computer Experiment: Eye Diagrams for Binary and Quaternary
Systems
6.8 Theme Example: Equalization
6.9 Summary and Discussion
Additional Problems
Advanced Problems
7 Digital Band-Pass Modulation Techniques 
7.1 Some Preliminaries
7.2 Binary Amplitude-Shift Keying
7.3 Phase-Shift Keying
7.4 Frequency-Shift Keying
7.5 Summary of Three Binary Signaling Schemes
7.6 Noncoherent Digital Modulation Schemes
7.7 M-ary Digital Modulation Schemes
7.8 Mapping of Digitally Modulated Waveforms onto Constellations
of Signal Points
APPENDIX 1 POWER RATIOS AND DECIBEL
7.9 Theme Examples
7.10 Summary and Discussion
Additional Problems
Advanced Problems
Computer Experiments
8 Random Signals and Noise 
8.1 Probability and Random Variables
8.2 Expectation
8.3 Transformation of Random Variables
8.4 Gaussian Random Variables
8.5 The Central Limit Theorem
8.6 Random Processes
8.7 Correlation of Random Processes
8.8 Spectra of Random Signals
8.9 Gaussian Processes
8.10 White Noise
8.11 Narrowband Noise
8.12 Summary and Discussion
Additional Problems
Advanced Problems
Computer Experiments
9 Noise in Analog Communications
9.1 Noise in Communication Systems
9.2 Signal-to-Noise Ratios
9.3 Band-Pass Receiver Structures
9.4 Noise in Linear Receivers Using Coherent Detection
9.5 Noise in AM Receivers Using Envelope Detection
9.6 Noise in SSB Receivers
9.7 Detection of Frequency Modulation (FM)
9.8 FM Pre-emphasis and De-emphasis
9.9 Summary and Discussion
Additional Problems
Advanced Problems
Computer Experiments
10 Noise in Digital Communications 
10.1 Bit Error Rate
10.2 Detection of a Single Pulse in Noise
10.3 Optimum Detection of Binary PAM in Noise
10.4 Optimum Detection of BPSK
10.5 Detection of QPSK and QAM in Noise
10.6 Optimum Detection of Binary FSK
10.7 Differential Detection in Noise
10.8 Summary of Digital Performance
10.9 Error Detection and Correction
10.10 Summary and Discussion
Additional Problems
Advanced Problems
Computer Experiments
11 System and Noise Calculations 
11.1 Electrical Noise
11.2 Noise Figure
11.3 Equivalent Noise Temperature
11.4 Cascade Connection of Two-Port Networks
11.5 Free-Space Link Calculations
11.6 Terrestrial Mobile Radio
11.7 Summary and Discussion
Additional Problems
Advanced Problems
APPENDIX 1 POWER RATIOS AND DECIBEL
APPENDIX1 POWER RATIOS AND DECIBEL
APPENDIX2 FOURIER SERIES
APPENDIX3 BESSEL FUNCTIONS
APPENDIX4 THE Q-FUNCTION AND ITS RELATIONSHIP TO THE ERROR
FUNCTION
APPENDIX5 SCHWARZ’S INEQUALITY
APPENDIX6 MATHEMATICAL TABLES
APPENDIX 7 MATLAB SCRIPTS FOR COMPUTER EXPERIMENTS TO
PROBLEMS IN CHAPTERS 7-10
APPENDIX8 ANSWERS TO DRILL PROBLEMS
GLOSSARY
BIBLIOGRAPHY

INDEX