Digital & Analog Communication Systems

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

<