数字与模拟通信系统(第5版)

书籍目录

CONTENTS

PREFACE

LIST OF SYMBOLS

1 INTRODUCTION

1-1 Historical Perspective

1-2 Digital and Analog Sources and Systems

1-3 Deterministic and Random Waveforms

1-4 Organization of This 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

Example 1-1 Evatuation of Informalion and Entropy,

1-10 Channel Capacity and Ideal Communication Systems

1-11 Coding

Block Codes,

Convotutional Codes,

Code Interleaving,

Code Perfonfuance,

Trellis-Coded Modulation,

1-12 Preview

1-13 Study-aid Examples

Problems

2 SIGNALS AND SPECTRA

2-1 Properties of Signals and Noise

Physically Realizable Waveforms,

Time Average Operator,

Dc Value,

Power,

ExaMple 2-1 Evaluation of Power,

Rms Value and Normalized Power,

Energy and Pcwer Waveforms,

Decibel.

Phasors,

1-1 Fourier Transfonn and Spectra

Definition,

Example 2-2 Spectrum ofan Exponenlial Pulse,

Propenies ofFourier Transfonns,

Parseval 's Theorem and Energy Spectral Density,

Example 2-3 Spectrum ofa Damped Sinusoid.

Dirac Delta Function and Unit Step Function,

Example 2-4 Spectrum ofa Sinusotd,

Rectangular and Triangular-Pulses,

Example 2-5 Spectrum ofa Rectmgular Pulse,

Example 2-6 Spectrum ofa Triangular Pulse,

Convolulion, 58

Example 2-7 Convolution of a Rectangle wilh an Exponentiai,

Example 2-8 Speclrum of a Triangular Pulse by Convolution.

Example 2-9 Spectrum ofa Swilched Sinusoid,

2-3 Power Spectral Density and Autocorrelation Function

Power Spectral Density,

Autocorrelation Function,

Example 2-10 PSD ofa Sinusoid,

2-4 Orthogonal Series Representation of Signals and Noise

Orthogonal Functions,

Example 2-11 Orthogonal Complex Exponential Functions,

Orthogonat Series,

2-5 Fourier Series

Complex Fourier Series,

Quadrature Fourier Series,

Polar Fourier Series.

Une Spectra for Periodic Waveforms,

Example 2-12 Fourier Coefficients for a Rectangular Wave,

Power Spectral Density for Periodic Waveforms,

Example 2-13 PSDfor a Square Wave.

2-6 Review of Linear Systems

Linear Time-Invariant Systems,

fmputse Response.

Transfer Function,

Example 2-14 RC Low-Pass FUter,

Distortionless Transmission,

Example 2-15 Distortion Caused by a Filler.

2-7 Bandlimited Signals and Noise

Bandlimited Waveforms,

Sampling Theorem,

Impulse Sampling,

Dimensionality Theorem.

2-8 Discfete Fourier Transform

Using the DFT to Compute the Continuous Fourier Transform,

Example 2-16 DFTfor a Reclangular Pulse,

Using the DFT to Compute the Fourier Series,

Example 2-17 Use the DFT toCompute the Spectrum ofa Sinusoid,

2-9 Bandwidth of Signals

Example 2-18 Bandwidths for a BPSK Signal.

2-10 Summary

2-11 Study-Aid Examples

Problems

3 BASEBAND PULSE AND DIGITAL SIGNALING

3-1 Introduction

3-2 Pulse Amplitude Modulation

Natural Samplmg IGating),

Instantaneous Sampling (Flat-Top PAM). ,

3-3 Pulse Code Modulation

Sampling, Quanting, and Encoding,

Practical PCM Circuits,

Bandwidth ofPCM,

Effecls of Nmse,

Example 3-1 Design of a PCM System,

Nonunifonn Quantizing: -Law and A-Law Companding,

3-4 Digital Signaling

Vector Represenlation.

Example 3-2 Vector Representalion ofa Binary Signal,

Bandwidth Estimation,

Binary Signaling,

Example 3-3 Binary Signaling,

Muttikvel Signaling,

Example 3-4 L = 4 Mullilevel Signal,

3-5 Line Codes and Spectra

Binary Line Coding,

Power Spectra for Binary Une Codes.

Differential Coding,

Eye Pattems,

Regenerative Repeaters,

Bit Synchronization,

Power Spectrafor Multilevel Signals.

Spectral Efficiency,

3-6 Intersymbol Interference

Nyquisl's First Method (Zero ISI),

Raised Cosine-Rolloff Filtering,

Example 3-1 (continued),

Nyquisl's Second and Third Methodsfor Control oflSI,

3-7 Differential Pulse Code Modulation

3-8 Delta Modulation

Granular Noise and Slope Overload Noise,

Example 3-5 Design of a DM System,

Adaptive Delta Modulation and Continuously Variable Slope

Delta Modulation,

Speech Coding.

3-9 Time-Division Multiplexing

Frame Synchronization.

Synchronous and Asynchronous Lines,

Example 3-6 Design ofa Time-Division Muhiplexer,

TDM Hierarchy.

The Tl PCM System,

3-10 Pulse Time Modulation: Pulse Width Modulation

and Pulse Position Modulation

3-11 Summary

3-12 Study-Aid Examples

Problems

4 BANDPASS SIGNALING PRINCIPLES AND CIRCUITS

4-1 Complex Envelope Representation of Bandpass Waveforms

Definitions: Baseband, Bandpass, and Modulation.

Complex Envelope Representation,

4-2 Representation of Modulated Signals

4-3 Spectrum of Bandpass Signals

4-4 Evaluation of Power

Example 4-1 Amplitude-Modulated Signal.

4-5 Bandpass Filtering and Linear Distortion

Equivalent Low-Pass Filter,

Unear Dislortion,

4-6 Bandpass Sampling Theorem

4-7 Received Signal Plus Noise

4-8 Classification of Filters and Amplifiers

Filters,

Amplifiers,

4-9 Nonlinear Distortion

4-10 Limiters

4-11 Mixers, Up Converters, and Down Converters

4-12 Frequency Multipliers

4-13 Detector Circuits

Envelope Detector.

Product Detector.

Frequency Modulation Detector,

4-14 Phase-Locked Loops and Frequency Synthesizers .

4-15 Direct Digital Synthesis

4-16 Transmitters and Receivers

Generalized Transmitters,

Generalized Receiver: The Superheterodyne Receiver,

Example 4-2 AM Broadcast Superheterodyne Receiver,

4-17 Summary

4-18 Study-Aid Examples

Problems

5 AM, FM, AND DIGITAL MODULATED SYSTEMS

5-1 Amplitude Modulation

Example 5-l Power of an AM Signal,

5-2 AM Broadcast Technical Standards

5-3 Double-Sideband Suppressed Carrier

5-4 Costas Loop and Squaring Loop

5-5 Asymmetric Sideband Signals

Single Sideband. 304

Vestigiat Sideband, 308

5-6 Phase Modulation and Frequency Modulation

Representation of PM and FM signals,

Spectra of Angle-Modulated Signals,

Example 5-2 Spectrum of a PM or FM Signal

with Sinusotdal Modulation,

Narrowband Angle Modulation,

Wideband Frequency Moduiation,

Exwnple 5-3 Spectrwn for WBFM with Triangular Modulation,

Preemphasis and Deemphasis in Angle-Modulated Systems,

5-7 Frequency-Division Multiplexing and FM Stereo

5-8 FM and Noise Reduction Standards

FM Broadcast Technical Standards.

Dolby and DBX Noise Reduction Systems,

5-9 Binary Modulated Bandpass Signaling

On-OffKeying (OOK),

Binary-Phase Shift Keying (BPSK),

Dtffi-rential Phase-Shifi Keying (DPSK).

Frequency-Shift Keying (FSK),

Example 5-4 Spectrum of the Bell-Type 103 FSK Modem.

5-10 Multilevel Modulated Bandpass Signaling

Quadramre Phase-Shift (QPSK) Keying and M-ary Phase-Shift Keying (MPSK),

Quadrature Amplitude Modulation (QAM),

Power Spectral Densityfor MPSK and QAM.

5-11 Minimum-Shift Keying (MSK)

5-12 Spread Spectrum Systems

Direct Sequence,

Frequency Hopping,

5-13 Summary

5-14 Study-Aid Examples

Problems

6 RANDOM PROCESSES AND SPECTRAL ANALYSIS

6-1 Some Basic Definitions

Random Processes.

Stationarity and Ergodicity,

Example 6-1 First-Order Stalionarity,

Example 6-2 Ergodic Random Process,

Correlation Functions and Wide-Sense Stationarity,

Complex Random Processes,

6-2 Power Spectral Density

Definition.

Wiener-Khintchine Theorem,

Propenies ofthe PSD,

Example 6-3 Evaluation of the PSDfor a Polar Baseband Signal,

General Fornwla for the PSD of Digital Stgnals,

White Notse Processes,

Measurement ofPSD,

6-3 Dc and Rms Values for Ergodic Random Processes

6-4 Linear Systems

Input-Output Relationships,

Example 6-4 Output Autocorrelation and PSD

for an RC Low-Pass Filler,

Example 6-5 Signal-to-Noise Ratio

at the Oulput of an RC Low-Pass Filler,

6-5 Bandwidth Measures

Equivalent Bandwidth,

Rms Bmduiidth,

Example 6-6 Equivalenl Bandwidth and Rms Bandwidth

foranRCLPF,

6-6 The Gaussian Random Process

Properties ofGaussian Processes,

Example 6-7 White Gaussian Noise Process,

6-7 Bandpass Processes

Bandpass Representations,

Prvperties of WSS Bandpass Processes,

Exampk 6-8 Spectrafor the Quadrature Components

of White Bandpass Hoise,

Example 6-9 PSD for a BPSK Signal.

Proofs of Some Properties,

Example 6-10 PDFfor the Envelope and Phase Functions

ofa Gaussian Bandpass Process,

6-8 Matched pilters

General Results.

Resultsfor White Noise,

Example 6-11 Integrate-and-Dump (Matched) Filter,

Correlation Processing,

Example 6-12 Matched Filterfor Detection ofa BPSK Signal,

Transversal Matched Filter,

6-9 Summary

6-10 Appendix:ProofofSchwars'sInequality

6-11 Study-Aid Examples

Problems

7 PERFORMANCE OF COMMUNICATION SYSTEMS

CORRUPTED BY NOISE

7-1 Error Probabilities for Binary Signaling

General Results,

Resuttsfor Gaussian Noise,

Resultsfor White Gaussian Noise and Matched-Filler Reception,

Results for Colored Gaussian Noise and Matched-Filter Reception,

7-2 Perfonnance of Baseband Binary Systems

Unipolar Signaling,

Polar Signaling,

Bipolar Signaling,

7-3 Coherent Detection of Bandpass Binary Signals

On-Qff Keying,

Binary-Phase-Shift Keying,

Frequency-Shift Keying,

7-4 Noncoherent Detection of Bandpass Binary Signals

On-QffKeying,

Frequency-Shift Keying,

Differential Phase-Shift Keying,

7-5 Quadrature Phase-Shift Keying and Minimum-Shift Keying

7-6 Comparison of Digital Signaling Systems

Bit Error Rate and Bandwidth,

Synchronization,

7-7 Output Signal-to-Noise Ratio for PCM Systeins

7-8 Output Signal-to-Noise Ratios for Analog Systems

Comparison with Baseband Systems,

AM Systems with Product Detection,

AM Systems with Envelope Delection,

DSB-SC Systems.

SSB Systems,

PM Syslems,

FM Syslems.

FM Systems with Threshotd Extension,

FM Systems with Deemphasis,

7-9 Comparison of Analog Signaling Systems

Ideal System Performance,

7-10 Summary

7-11 Study-Aid Examples

Problems

8 CASE STUDIES OF COMMUNICATION SYSTEMS

8-1 Telecommunication Systems

Time-Dtvision Multiplexmg,

Frequency-Division Multiplexing,

8-2 Telephone Systems

Historical Basis,

Modem Telephone Systems and Remote Terminals

8-3 Integrated Service Digital Network

8-4 Capacities of Public Switched Telephone Networks

8-5 Satellite Communication Systems

Dtgital and Analog Television Transmission,

Data and Telephone Signal Multiple Access,

Examplt 8-l Fixed Assigned Multiple-Access Mode Using

an FDMA Format,

Example 8-2 SPADE System,

Personal Communications via Satellite,

8-6 Link Budget Analysis

Signal Power Received,

Thermai Noise Sources,

Characterization ofNoise Sources,

Noise Cluaracterzaation ofLinear Devices,

Example 8-3 T, and Ffor a Transmission Line,

Noist Characterization ofCascaded Linear Devices,

Lmk Budgel Evaluation,

E/No Unk Budgelfor Digital Systems,

Example 8-4 Link Budget Evaluation for a Television Receive-

Only Terminalfor Satellile Sigmils,

8-7 Fiber Optic Systems

Example 8-5 Link Budgetfor a Fiber Oplic Syslem,

8-8 Cellular Telephone Systems

8-9 Telcvision

Btack-and-White Television,

MTS Stereo Sound,

Color Television,

Standardsfor TV and CATV Systems,

HDTV,

8-10 Summary

8-11 Study-Aid Examples

Problems

A APPENDIX A MATHEMATICAL TECHNIQUES, IDENTITIES,

AND TABLES

A-1 Trigonometry

Dffinitions,

Trigonometric Identities,

A-2 Differential Calculus

Definition.

Differentialion Rules,

Derivative Table,

A-3 Indeterminate Fonns

A-4 Integral Calculus

Defintion,

Inlegration Techniques,

A-5 Integral Tables

Indefinite Inlegrals.

Definite Integrals,

A-6 Sehes Expansions

Finite Series,

Infinile Series,

A-7 Hilbert Transform Pairs

A-8 The Dirac Delta Function

Properties of Dirac Della Function,

A-9 Tabulation of Sa(x) = (sin x)/x

A-IO Tabulation of Q(z)

B APPENDIX B PROBABILITY AND RANDOM VARIABLES

B-1 Introduction

B-2 Sets

B-3 Probability and Relative Frequency

Simple Probability,

Joint Probability.

Example B-I Evaiuation of Probabilities.

Example B-l (Cont'mued),

Conditional Probabilities,

Example B-l (Contmued).

B-4 Random Variables

Example B-l Random Variable,

8-5 Cumulative Distribution Functions and Probability

Density Functions

Example 8-2 (Continued),

Properties of CDFs and PDFs.

Discrele and Continuous Distributions,

Example B-3 A Continuous Distribution,

Example B-3 (Conlinued).

8-6 Ensemble Average and Moments

Ensemble Average,

Example 8-4 Evaluation ofan Average,

Moments. 647

8-7 Examples of Important Distributions

Binomiai Distributton.

Poisson Distribution,

Uniform Distribution,

Gaussian Distribution,

Sinusoidal Distribution,

8-8 Functional Transformations of Random Variables

Example B-6 Sinusoidal Distribulion,

Example B-6 PDFfor the Output of a Diode Characleristic,

8-9 Multivariate Statistics

Multivariale CDFs and PDFs,

Bivariate Slatistics.

Gaussian Bivariate Distribution.

Multivariate Functional Transformation,

Exampk B-7 PDFfor the Sum of Two Ramlom Variahles,

Ceniral Limit Theorem.

Example B-8 PDFfor the Sum of Three Independenl Uniformly

Distributed Random Variables,

Problems

APPENDIX C STANDARDS AND TERMINOLOGY

C FOR COMPUTER COMMUNICATIONS

C-l Codes

Baudot,

ASCII,

C-2 DTE/DCE and Ethernet Interface Standards

Current Loop,

RS-232C, RS-422A, RS-449, and RS-530 Interfaces,

Centronics Parallel Interface,

IEEE-488 Interface,

Elhemet IIEEE 802.3) Inlerface,

C-3 The ISO OSI Network Model

C-4 Data Link Control Protocols

BISYNC,

SDLC,

HDLC.

CCITTX.25 Protocol,

Asynchronous Transfer Mode (ATM),

C-5 Modem Standards

C-6 Brief Computer Communications Glossary

REFERENCES

ANSWERS TO SELECTED PROBLEMS

INDEX

FRONT ENDPAPERS

Abbreviations

BACK ENDPAPERS

Fourier Transfonn Theorems

Fourier Transform Pairs

Q(z) Function

作者简介

内容简介

本书在继承前4版传统的基础上作了最新的处理。它

提供了良好的理论基础知识，也包括了通信系统的实际问题

新版还包括了大量的学习辅助例子和家庭作业，其中许多

作业要藉助个人计算机来求解。全书8章和3个附录：1.

引论：2.信号与频谱；3.基带脉冲与数字信号；4.带通信号

原理和电路；5.调幅AM、调频FM和数字调制系统；6.

随机处理视频谱分析；7.通信系统性能；8.通信系统举例；

附录：A.各种数学公式、表格；B.概率和随机变量；C.计

算机通信标准和术语。

本书既可作工科大学生低年级或高年级的教材，也可作

研究生的概论性教科书，还是一本电子工程师的最新技术参

考书

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