1INTRODUCTION 1�1 Historical Perspective 1�2 Digital and Analog Sources and Systems 1�3 Deterministic and Random Waveforms 1�4 Organization of the Book 1�5 Use of a Personal Computer and MATLAB 1�6 Block Diagram of a Communication System 1�7 Frequency Allocations 1�8 Propagation of Electromagnetic Waves 1�9 Information Measure 1�10 Channel Capacity and Ideal Communication Systems 1�11 Coding 1�12 Preview 1�13 Study-Aid Examples Problems
2SIGNALS AND SPECTRA 2�1 Properties of Signals and Noise 2�2 Fourier Transform and Spectra 2�3 Power Spectral Density and Autocorrelation Function 2�4 Orthogonal Series Representation of Signals and Noise 2�5 Fourier Series 2�6 Review of Linear Systems 2�7 Bandlimited Signals and Noise 2�8 Discrete Fourier Transform 2�9 Bandwidth of Signals 2�10 Summary 2�11 Study-Aid Examples Problems
3BASEBAND PULSE AND DIGITAL SIGNALING 3�1 Introduction 3�2 Pulse Amplitude Modulation 3�3 Pulse Code Modulation 3�4 Digital Signaling 3�5 Line Codes and Spectra 3�6 Intersymbol Interference 3�7 Differential Pulse Code Modulation 3�8 Delta Modulation 3�9 Time-Division Multiplexing 3�10 Packet Transmission System 3�11 Pulse Time Modulation: Pulse Width Modulation and Pulse Position Modulation 3�12 Summary 3�13 Study-Aid Examples Problems
4BANDPASS SIGNALING PRINCIPLES AND CIRCUITS 4�1 Complex Envelope Representation of Bandpass Waveforms 4�2 Representation of Modulated Signals 4�3 Spectrum of Bandpass Signals 4�4 Evaluation of Power 4�5 Bandpass Filtering and Linear Distortion 4�6 Bandpass Sampling Theorem 4�7 Received Signal Plus Noise 4�8 Classification of Filters and Amplifiers 4�9 Nonlinear Distortion 4�10 Limiters 4�11 Mixers, Up Converters, and Down Converters 4�12 Frequency 4�19 Study-Aid Examples Problems
5AM, FM, AND DIGITAL MODULATED SYSTEMS 5�1 Amplitude Modulation 5�2 AM Broadcast Technical Standards and Digital AM Broadcasting 5�3 Double-Sideband Suppressed Carrier 5�4 Costas Loop and Squaring Loop 5�5 Asymmetric Sideband Signals 5�6 Phase Modulation and Frequency Modulation 5�7 Frequency-Division Multiplexing and FM Stereo 5�8 FM Broadcast Technical Standards and Digital FM Broadcasting 5�9 Binary Modulated Bandpass Signaling 5�10 Multilevel Modulated Bandpass Signaling 5�11 Minimum-Shift Keying and GMSK 5�12 Orthogonal Frequency Division Multiplexing (OFDM) 5�13 Spread Spectrum Systems 5�14 Summary 5�15 Study-Aid Examples Problems
6RANDOM PROCESSES AND SPECTRAL ANALYSIS 6�1 Some Basic Definitions 6�2 Power Spectral Density 6�3 DC and RMS Values for Ergodic Random Processes 6�4 Linear Systems 6�5 Bandwidth Measures 6�6 The Gaussian Random Process 6�7 Bandpass Processes 6�8 Matched Filters 6�9 Summary 6�10 Appendix: Proof of Schwarz’s Inequality 6�11 Study-Aid Examples Problems
7 PERFORMANCE OF COMMUNICATION SYSTEMS CORRUPTED BY NOISE 7�1 Error Probabilities for Binary Signaling 7�2 Performance of Baseband Binary Systems 7�3 Coherent Detection of Bandpass Binary Signals 7�4 Noncoherent Detection of Bandpass Binary Signals 7�5 Quadrature Phase-Shift Keying and Minimum-Shift Keying 7�6 Comparison of Digital Signaling Systems 7�7 Output Signal-to-Noise Ratio for PCM Systems 7�8 Output Signal-to-Noise Ratios for Analog Systems 7�9 Comparison of Analog Signaling Systems 7�10 Summary 7�11 Study-Aid Examples Problems
8 WIRE AND WIRELESS COMMUNICATION APPLICATIONS 8�1 The Explosive Growth of Telecommunications 8�2 Telephone Systems 8�3 Digital Subscriber Lines (DSL) 8�4 Capacities of Public Switched Telephone Networks 8�5 Satellite Communication Systems 8�6 Link Budget Analysis 8�7 Fiber-Optic Systems 8�8 Cellular Telephone Systems 8�9 Television 8�10 Cable Data Modems 8�11 Wireless Data Networks 8�12 Summary 8�13 Study-Aid Examples Problems
APPENDIX A MATHEMATICAL TECHNIQUES, IDENTITIES, AND TABLES A�1 Trigonometry and Complex Numbers A�2 Differential Calculus A�3 Indeterminate Forms A�4 Integral Calculus A�5 Integral Tables A�6 Series Expansions A�7 Hilbert Transform Pairs A�8 The Dirac Delta Function A�9 Tabulation of Sa (x) = (sin x)x A�10 Tabulation of Q (z)
APPENDIX BPROBABILITY AND RANDOM VARIABLES B�1 Introduction B�2 Sets B�3 Probability and Relative Frequency B�4 Random Variables B�5 Cumulative Distribution Functions and Probability Density Functions B�6 Ensemble Average and Moments B�7 Examples of Important Distributions B�8 Functional Transformations of Random Variables B�9 Multivariate Statistics Problems
APPENDIX C USING MATLAB C�1 About the MATLAB M-Files C�2 Quick Start for Running M-Files C�3 Programming in MATLAB