Published by Pearson (March 20, 2013) © 2013

Leon Couch
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    ISBN-13: 9780273774228R365

    Digital & Analog Communication Systems ,8th edition

    Language: English

    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

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