数字与模拟通信系统(第5版) pdf 网盘 高速 下载地址大全 免费

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

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

暂无相关内容，正在全力查找中

暂无其它内容！

暂时还没有人为这本书评论！