Description

For second and third year introductory communication systems courses for undergraduates, or an introductory graduate course.

This revision of Couch’s authoritative text provides the latest treatment of digital communication systems. The author balances coverage of both digital and analog communication systems, with an emphasis on design. Students will gain a working knowledge of both classical mathematical and personal computer methods to analyze, design, and simulate modern communication systems. MATLAB is integrated throughout.

Features

• MATLAB illustrative examples and plots and practice in files.

• Minimum-level mathematics used throughout.

• Communication system building blocks – Describes down converters, phase-locked loops and other essential blocks used in receivers and transmitters.

• Noise performance analysis of communication systems.

• Case studies of modern communication systems.

• Discussion of communication system standards.

• Over 500 problems with selected answers.

• Study-aid examples and homework problems, many of which are computer-based and marked with a personal computer icon.

• Extensive pedagogy – Includes chapter objectives, summaries, lists of key terms, and a glossary with extensive references.

New to this Edition

• Addition of over 100 examples with solutions that are distributed throughout the chapters of the book. Most of them have MATLAB computer solutions obtained via electronic M files which are downloaded free-of-charge from author’s Web site.
• Includes up-to-date descriptions of popular wireless systems, LTE (long-term evolution) and WiMax 4G cellular systems, and personal communication applications.
• Includes latest updates on digital TV (DTV) technology.
• Brings terminology and standards up-to-date.
• Brings references up-to-date.
• Updates all chapters.
• Includes additional and revised homework problems.
• Includes suggestions for obtaining the latest information on applications and standards by using the appropriate keyword queries on internet search engines, such as Google.
• To aid in training new communication engineers, the emphasis remains on MATLAB computer solutions to problems. The electronic files for the MATLAB solutions are available online (free download) to save students time and avoid the errors that occur while typing lines of code listed in a textbook.
• Updates all MATLAB files to run on Version R2010b.
• Extends list of Answers to Selected Problems at the end of the book, with MATLAB solutions if appropriate.

Table of Contents

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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