• 1.摘要
  • 2.基本信息
  • 3.内容介绍
  • 4.作品目录

数字与模拟通信系统(第5版)

基本信息

  • 作者

    库奇

  • 出版社

    清华大学出版社

  • 出版时间

    1998-06

  • 页数

    742

  • 定价

    36.00元

  • 装帧

    平装

  • ISBN

    9787302029458

内容介绍

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

作品目录

CONTENTSPREFACELIST OF SYMBOLS1 INTRODUCTION1-1 Historical Perspective1-2 Digital and Analog Sources and Systems1-3 Deterministic and Random Waveforms1-4 Organization of This Book1-5 Use of a Personal Computer and MATLAB1 -6 Block Diagram of a Communication System1-7 Frequency Allocations1-8 Propagation of Electromagnetic Waves1-9 Information MeasureExample 1-1 Evatuation of Informalion and Entropy,1-10 Channel Capacity and Ideal Communication Systems1-11 CodingBlock Codes,Convotutional Codes,Code Interleaving,Code Perfonfuance,Trellis-Coded Modulation,1-12 Preview1-13 Study-aid ExamplesProblems2 SIGNALS AND SPECTRA2-1 Properties of Signals and NoisePhysically 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 SpectraDefinition,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, 58Example 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 FunctionPower Spectral Density,Autocorrelation Function,Example 2-10 PSD ofa Sinusoid,2-4 Orthogonal Series Representation of Signals and NoiseOrthogonal Functions,Example 2-11 Orthogonal Complex Exponential Functions,Orthogonat Series,2-5 Fourier SeriesComplex 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 SystemsLinear 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 NoiseBandlimited Waveforms,Sampling Theorem,Impulse Sampling,Dimensionality Theorem.2-8 Discfete Fourier TransformUsing 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 SignalsExample 2-18 Bandwidths for a BPSK Signal.2-10 Summary2-11 Study-Aid ExamplesProblems3 BASEBAND PULSE AND DIGITAL SIGNALING3-1 Introduction3-2 Pulse Amplitude ModulationNatural Samplmg IGating),Instantaneous Sampling (Flat-Top PAM). ,3-3 Pulse Code ModulationSampling, 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 SignalingVector 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 SpectraBinary 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 InterferenceNyquisl'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 Modulation3-8 Delta ModulationGranular Noise and Slope Overload Noise,Example 3-5 Design of a DM System,Adaptive Delta Modulation and Continuously Variable SlopeDelta Modulation,Speech Coding.3-9 Time-Division MultiplexingFrame 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 Modulationand Pulse Position Modulation3-11 Summary3-12 Study-Aid ExamplesProblems4 BANDPASS SIGNALING PRINCIPLES AND CIRCUITS4-1 Complex Envelope Representation of Bandpass WaveformsDefinitions: Baseband, Bandpass, and Modulation.Complex Envelope Representation,4-2 Representation of Modulated Signals4-3 Spectrum of Bandpass Signals4-4 Evaluation of PowerExample 4-1 Amplitude-Modulated Signal.4-5 Bandpass Filtering and Linear DistortionEquivalent Low-Pass Filter,Unear Dislortion,4-6 Bandpass Sampling Theorem4-7 Received Signal Plus Noise4-8 Classification of Filters and AmplifiersFilters,Amplifiers,4-9 Nonlinear Distortion4-10 Limiters4-11 Mixers, Up Converters, and Down Converters4-12 Frequency Multipliers4-13 Detector CircuitsEnvelope Detector.Product Detector.Frequency Modulation Detector,4-14 Phase-Locked Loops and Frequency Synthesizers .4-15 Direct Digital Synthesis4-16 Transmitters and ReceiversGeneralized Transmitters,Generalized Receiver: The Superheterodyne Receiver,Example 4-2 AM Broadcast Superheterodyne Receiver,4-17 Summary4-18 Study-Aid ExamplesProblems5 AM, FM, AND DIGITAL MODULATED SYSTEMS5-1 Amplitude ModulationExample 5-l Power of an AM Signal,5-2 AM Broadcast Technical Standards5-3 Double-Sideband Suppressed Carrier5-4 Costas Loop and Squaring Loop5-5 Asymmetric Sideband SignalsSingle Sideband. 304Vestigiat Sideband, 3085-6 Phase Modulation and Frequency ModulationRepresentation of PM and FM signals,Spectra of Angle-Modulated Signals,Example 5-2 Spectrum of a PM or FM Signalwith 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 Stereo5-8 FM and Noise Reduction StandardsFM Broadcast Technical Standards.Dolby and DBX Noise Reduction Systems,5-9 Binary Modulated Bandpass SignalingOn-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 SignalingQuadramre 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 SystemsDirect Sequence,Frequency Hopping,5-13 Summary5-14 Study-Aid ExamplesProblems6 RANDOM PROCESSES AND SPECTRAL ANALYSIS6-1 Some Basic DefinitionsRandom 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 DensityDefinition.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 Processes6-4 Linear SystemsInput-Output Relationships,Example 6-4 Output Autocorrelation and PSDfor an RC Low-Pass Filler,Example 6-5 Signal-to-Noise Ratioat the Oulput of an RC Low-Pass Filler,6-5 Bandwidth MeasuresEquivalent Bandwidth,Rms Bmduiidth,Example 6-6 Equivalenl Bandwidth and Rms BandwidthforanRCLPF,6-6 The Gaussian Random ProcessProperties ofGaussian Processes,Example 6-7 White Gaussian Noise Process,6-7 Bandpass ProcessesBandpass Representations,Prvperties of WSS Bandpass Processes,Exampk 6-8 Spectrafor the Quadrature Componentsof White Bandpass Hoise,Example 6-9 PSD for a BPSK Signal.Proofs of Some Properties,Example 6-10 PDFfor the Envelope and Phase Functionsofa Gaussian Bandpass Process,6-8 Matched piltersGeneral 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 Summary6-10 Appendix:ProofofSchwars'sInequality6-11 Study-Aid ExamplesProblems7 PERFORMANCE OF COMMUNICATION SYSTEMSCORRUPTED BY NOISE7-1 Error Probabilities for Binary SignalingGeneral 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 SystemsUnipolar Signaling,Polar Signaling,Bipolar Signaling,7-3 Coherent Detection of Bandpass Binary SignalsOn-Qff Keying,Binary-Phase-Shift Keying,Frequency-Shift Keying,7-4 Noncoherent Detection of Bandpass Binary SignalsOn-QffKeying,Frequency-Shift Keying,Differential Phase-Shift Keying,7-5 Quadrature Phase-Shift Keying and Minimum-Shift Keying7-6 Comparison of Digital Signaling SystemsBit Error Rate and Bandwidth,Synchronization,7-7 Output Signal-to-Noise Ratio for PCM Systeins7-8 Output Signal-to-Noise Ratios for Analog SystemsComparison 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 SystemsIdeal System Performance,7-10 Summary7-11 Study-Aid ExamplesProblems8 CASE STUDIES OF COMMUNICATION SYSTEMS8-1 Telecommunication SystemsTime-Dtvision Multiplexmg,Frequency-Division Multiplexing,8-2 Telephone SystemsHistorical Basis,Modem Telephone Systems and Remote Terminals8-3 Integrated Service Digital Network8-4 Capacities of Public Switched Telephone Networks8-5 Satellite Communication SystemsDtgital and Analog Television Transmission,Data and Telephone Signal Multiple Access,Examplt 8-l Fixed Assigned Multiple-Access Mode Usingan FDMA Format,Example 8-2 SPADE System,Personal Communications via Satellite,8-6 Link Budget AnalysisSignal 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 SystemsExample 8-5 Link Budgetfor a Fiber Oplic Syslem,8-8 Cellular Telephone Systems8-9 TelcvisionBtack-and-White Television,MTS Stereo Sound,Color Television,Standardsfor TV and CATV Systems,HDTV,8-10 Summary8-11 Study-Aid ExamplesProblemsA APPENDIX A MATHEMATICAL TECHNIQUES, IDENTITIES,AND TABLESA-1 TrigonometryDffinitions,Trigonometric Identities,A-2 Differential CalculusDefinition.Differentialion Rules,Derivative Table,A-3 Indeterminate FonnsA-4 Integral CalculusDefintion,Inlegration Techniques,A-5 Integral TablesIndefinite Inlegrals.Definite Integrals,A-6 Sehes ExpansionsFinite Series,Infinile Series,A-7 Hilbert Transform PairsA-8 The Dirac Delta FunctionProperties of Dirac Della Function,A-9 Tabulation of Sa(x) = (sin x)/xA-IO Tabulation of Q(z)B APPENDIX B PROBABILITY AND RANDOM VARIABLESB-1 IntroductionB-2 SetsB-3 Probability and Relative FrequencySimple Probability,Joint Probability.Example B-I Evaiuation of Probabilities.Example B-l (Cont'mued),Conditional Probabilities,Example B-l (Contmued).B-4 Random VariablesExample B-l Random Variable,8-5 Cumulative Distribution Functions and ProbabilityDensity FunctionsExample 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 MomentsEnsemble Average,Example 8-4 Evaluation ofan Average,Moments. 6478-7 Examples of Important DistributionsBinomiai Distributton.Poisson Distribution,Uniform Distribution,Gaussian Distribution,Sinusoidal Distribution,8-8 Functional Transformations of Random VariablesExample B-6 Sinusoidal Distribulion,Example B-6 PDFfor the Output of a Diode Characleristic,8-9 Multivariate StatisticsMultivariale 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 UniformlyDistributed Random Variables,ProblemsAPPENDIX C STANDARDS AND TERMINOLOGYC FOR COMPUTER COMMUNICATIONSC-l CodesBaudot,ASCII,C-2 DTE/DCE and Ethernet Interface StandardsCurrent 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 ModelC-4 Data Link Control ProtocolsBISYNC,SDLC,HDLC.CCITTX.25 Protocol,Asynchronous Transfer Mode (ATM),C-5 Modem StandardsC-6 Brief Computer Communications GlossaryREFERENCESANSWERS TO SELECTED PROBLEMSINDEXFRONT ENDPAPERSAbbreviationsBACK ENDPAPERSFourier Transfonn TheoremsFourier Transform PairsQ(z) Function