Preface List of Symbols Chapter 1. INTRODUCTION 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 Block Codes, Convolutional Codes, Code Interleaving, Code Performance, Trellis-Coded Modulation, 1—12 Preview 1—13 Study-Aid Examples Problems   Chapter 2. SIGNALS AND SPECTRA 2—1 Properties of Signals and Noise Physically Realizable Waveforms Time Average Operator DC Value Power RMS Value and Normalized Power Energy and Power Waveforms Decibel Phasors 2—2 Fourier Transform and Spectra Definition Properties of Fourier Transforms Parseval’s Theorem and Energy Spectral Density Dirac Delta Function and Unit Step Function Rectangular and Triangular Pulses Convolution 2—3 Power Spectral Density and Autocorrelation Function Power Spectral Density Autocorrelation Function 2—4 Orthogonal Series Representation of Signals and Noise Orthogonal Functions Orthogonal Series 2—5 Fourier Series Complex Fourier Series Quadrature Fourier Series Polar Fourier Series Line Spectra for Periodic Waveforms Power Spectral Density for Periodic Waveforms 2—6 Review of Linear Systems Linear Time-Invariant Systems Impulse Response Transfer Function Distortionless Transmission Distortion of Audio, Video, and Data Signals 2—7 Bandlimited Signals and Noise Bandlimited Waveforms Sampling Theorem Impulse Sampling and Digital Signal Processing (DSP) Dimensionality Theorem 2—8 Discrete Fourier Transform Using the DFT to Compute the Continuous Fourier Transform Using the DFT to Compute the Fourier Series0 2—9 Bandwidth of Signals 2—10 Summary 2—11 Study-Aid Examples Problems Chapter 3 BASEBAND PULSE AND DIGITAL SIGNALING   3—1 Introduction 3—2 Pulse Amplitude Modulation Natural Sampling (Gating) Instantaneous Sampling (Flat-Top PAM) 3—3 Pulse Code Modulation Sampling, Quantizing, and Encoding Practical PCM Circuits Bandwidth of PCM Signals Effects of Noise Nonuniform Quantizing: _-Law and A-Law Companding V.90 56-kb/s PCM Computer Modem 3—4 Digital Signaling Vector Representation Bandwidth Estimation Binary Signaling Multilevel Signaling 3—5 Line Codes and Spectra Binary Line Coding Power Spectra for Binary Line Codes Differential Coding Eye Patterns Regenerative Repeaters Bit Synchronization Power Spectra for Multilevel Polar NRZ Signals Spectral Efficiency 3—6 Intersymbol Interference Nyquist’s First Method (Zero ISI) Raised Cosine-Rolloff Nyquist Filtering <