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数字与模拟通信系统
作者：（美）Leon W.Couch Ⅱ著
出版社：清华大学出版社
出版时间：1998-01-01
ISBN：9787302029458
定价：¥36.00
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内容简介
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
作者简介
暂缺《数字与模拟通信系统》作者简介
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
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
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