9787121153259 数字通信(第五版 英文精简版) 电子工业出版社 (美)普罗科斯 epub pdf mobi txt 电子书 下载 2024

9787121153259 数字通信(第五版 英文精简版) 电子工业出版社 (美)普罗科斯 epub pdf mobi txt 电子书 下载 2024

9787121153259 数字通信(第五版 英文精简版) 电子工业出版社 (美)普罗科斯 epub pdf mobi txt 电子书 下载 2024

基本信息

书名：数字通信(第五版 英文精简版)

定价：59.00元

作者：(美)普罗科斯,(美)萨利希,张力军 等改编

出版社：电子工业出版社

出版日期：2012-01-01

ISBN：9787121153259

字数：

页码：

版次：1

装帧：平装

开本：

商品重量：0.781kg

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内容提要

　　本书是在《数字通信（第五版）》的基础上，根据的实际教学情况进行精简和改编的。主要的精简原则为：保留信号传输理论内容，舍去信息传输理论内容，并以传统而经典的数字传输理论为主，无线通信为辅。改编的部分主要是根据实际教学的常用习惯来进行的。精简后的内容主要涵盖：确定与*信号分析；数字调制方法；AWGN信道的*接收机；载波和符号同步；通过带限信道的数字通信；自适应均衡；多信道和多载波系统；数字通信用扩频信号；衰落信道：信道特征与信号传输；多天线系统。

目录

Chapter 1Introduction
　1.1 Elements of a Digital CommunicationSystem
　1.2 Communication Channels and TheirCharacteristics
　1.3 Mathematical Models for CommunicationChannels
　1.4 A Historical Perspective in the Development of
　Digitalommunications
Chapter 2 Deterministic and Random SignalAnalysis
　2.1 Representation of Bandpass Signals andSystems
　2.1–1 Representation of Bandpass Signals/ 2.1–2 Response of aBandpass System to a Bandpass Signal
　2.2 Signal Space Representation ofWaveforms
　2.2–1 Vector Space Concepts / 2.2–2 Signal Space Concepts / 2.2–3Orthogonal Expansions of Signals /2.2–4 Gram-SchmidtProcedure
　2.3 Some Useful RandomVariables
　2.4 RandomProcesses
　2.4–1 Wide-Sense Stationary Random Processes /2.4–2Cyclostationary Random Processes
　2.5 Series Expansion of RandomProcesses
　2.5–1 Sampling Theorem for Band-Limited RandomProcesses /2.5–2 TheKarhunen-Lo`eve Expansion
　2.6 Bandpass Stationary StochasticProcesses
　Problems
Chapter 3 Digital ModulationSchemes
　3.1 Representation of Digitally ModulatedSignals
　3.2 Memoryless ModulationMethods
　3.2–1 Pulse Amplitude Modulation (PAM) / 3.2–2 Phase Modulation /3.2–3 Quadrature Amplitude Modulation /3.2–4 MultidimensionalSignaling
　3.3 Signaling Schemes withMemory
　3.3–1 Continuous-Phase Frequency-Shift Keying(CPFSK) /
　3.3–2 Continuous-Phase Modulation (CPM)
　3.4 Power Spectrum of Digitally ModulatedSignals
　3.4–1 Power Spectral Density of a Digitally ModulatedSignalwith
　Memory / 3.4–2 Power Spectral Density of LinearlyModulated
　Signals / 3.4–3 Power Spectral Density ofDigitally Modulated
　Signals with Finite Memory / 3.4–4Power Spectral Density of
　Modulation Schemes with a MarkovStructure / 3.4–5 Power
　Spectral Densities of CPFSK and CPM Signals
　Problems
Chapter 4 Optimum Receivers for AWGNChannels
　4.1 Waveform and Vector ChannelModels
　4.1–1 Optimal Detection for a General Vector Channel
　4.2 Waveform and Vector AWGNChannels
　4.2–1 Optimal Detection for the Vector AWGN Channel /4.2–2Implementation of the Optimal Receiver for AWGN Channels / 4.2–3 AUnion Bound on the Probability of Error of Maximum LikelihoodDetection
　4.3 Optimal Detection and Error Probability for Band-Limited
　Signaling
　4.3–1 Optimal Detection and Error Probability for ASK or
　PAM Signaling / 4.3–2 Optimal Detection and ErrorProbability
　for PSK Signaling / 4.3–3 Optimal Detection and ErrorProbability
　for QAM Signaling / 4.3–4 Demodulation and Detection
　4.4 Optimal Detection and Error Probability forPower-Limited
　Signaling
　4.4–1 Optimal Detection and Error Probability for Orthogonal
　Signaling / 4.4–2 Optimal Detection and Error Probabilityfor
　Biorthogonal Signaling / 4.4–3 Optimal Detection and Error
　Probability for Simplex Signaling
　4.5 Optimal Detection in Presence of Uncertainty:Noncoherent
　Detection
　4.5–1 Noncoherent Detection of Carrier Modulated Signals /4.5–2Optimal Noncoherent Detection of FSK Modulated Signals / 4.5–3Error Probability of Orthogonal Signaling with NoncoherentDetection / 4.5–4 Probability of Error for Envelope Detection ofCorrelated Binary Signals /4.5–5 Differential PSK (DPSK)
　4.6 A Comparison of Digital SignalingMethods
　4.6–1 Bandwidth and Dimensionality
　4.7 Lattices and Constellations Based onLattices
　4.7–1 An Introduction to Lattices / 4.7–2 Signal Constellationsfrom Lattices
　4.8 Detection of Signaling Schemes withMemory
　4.8–1 The Maximum Likelihood Sequence Detector
　4.9 Optimum Receiver for CPMSignals
　4.9–1 Optimum Demodulation and Detection of CPM /4.9–2 Performanceof CPM Signals / 4.9–3 Suboptimum Demodulation and Detection of CPMSignals
　Problems
Chapter 5 Carrier and SymbolSynchronization
　5.1 Signal ParameterEstimation
　5.1–1 The Likelihood Function / 5.1–2 Carrier Recovery and
　Symbol Synchronization in Signal Demodulation
　5.2 Carrier PhaseEstimation
　5.2–1 Maximum-Likelihood Carrier Phase Estimation /5.2–2 ThePhase-Locked Loop / 5.2–3 Effect of AdditiveNoise on the PhaseEstimate / 5.2–4 Decision-Directed Loops / 5.2–5Non-Decision-Directed Loops
　5.3 Symbol TimingEstimation
　5.3–1 Maximum-Likelihood Timing Estimation /5.3–2Non-Decision-Directed Timing Estimation
　5.4 Joint Estimation of Carrier Phase and SymbolTiming
　5.5 Performance Characteristics of MLEstimators
　Problems
Chapter 6 Digital Communication Through Band-LimitedChannels
　6.1 Characterization of Band-LimitedChannels
　6.2 Signal Design for Band-LimitedChannels
　6.2–1 Design of Band-Limited Signals for No Intersymbol
　Interference—The Nyquist Criterion / 6.2–2 Design of Band-LimitedSignals with Controlled ISI—Partial-Response Signals / 6.2–3 DataDetection for Controlled ISI /6.2–4 Signal Design for Channels withDistortion
　6.3 Optimum Receiver for Channels with ISI andAWGN
　6.3–1 Optimum Maximum-Likelihood Receiver /6.3–2 A Discrete-TimeModel for a Channel with ISI /6.3–3 Maximum-Likelihood SequenceEstimation (MLSE)
　for the Discrete-Time White Noise Filter Model
　6.4 LinearEqualization
　6.4–1 Peak Distortion Criterion /6.4–2 Mean-Square-Error (MSE)Criterion /
　6.4–3 Performance Characteristics of the MSE Equalizer /6.4–4Fractionally Spaced Equalizers /6.4–5 Baseband and Passband LinearEqualizers
　6.5 Decision-FeedbackEqualization
　6.5–1 Coefficient Optimization /6.5–2 Performance Characteristicsof DFE
　6.6 Reduced Complexity MLDetectors
　Problems
Chapter 7 AdaptiveEqualization
　7.1 Adaptive LinearEqualizer
　7.1–1 The Zero-Forcing Algorithm /7.1–2 The LMS Algorithm /7.1–3Convergence Properties of the LMS Algorithm /7.1–4 Excess MSE dueto Noisy Gradient Estimates /7.1–5 Accelerating the InitialConvergence Rate
　in the LMS Algorithm / 7.1–6 Adaptive Fractionally SpacedEqualizer—The Tap Leakage Algorithm /7.1–7 An Adaptive ChannelEstimator for ML
　Sequence Detection
　7.2 Adaptive Decision-FeedbackEqualizer
　7.3 Recursive Least-Squares Algorithms for AdaptiveEqualization
　7.3–1 Recursive Least-Squares (Kalman) Algorithm /7.3–2 LinearPrediction and the Lattice Filter
　Problems
Chapter 8 Multichannel and MulticarrierSystems
　8.1 Multichannel Digital Communications in AWGNChannels
　8.1–1 Binary Signals / 8.1–2 M-ary Orthogonal Signals
　8.2 MulticarrierCommunications
　8.2–1 Single-Carrier Versus Multicarrier Modulation /8.2–2Capacity of a Nonideal Linear Filter Channel /8.2–3 OrthogonalFrequency Division Multiplexing (OFDM) /8.2–4 Modulation andDemodulation in an OFDM System /
　8.2–5 An FFT Algorithm Implementation of an OFDM System /8.2–6Spectral Characteristics of Multicarrier Signals /8.2–7 Bit andPower Allocation in Multicarrier Modulation /8.2–8 Peak-to-AverageRatio in Multicarrier Modulation /8.2–9 Channel CodingConsiderations in Multicarrier Modulation
　Problems
Chapter 9 Spread Spectrum Signals for DigitalCommunications
　9.1 Model of Spread Spectrum Digital CommunicationSystem
　9.2 Direct Sequence Spread SpectrumSignals
　9.2–1 Error Rate Performance of the Decoder /9.2–2 SomeApplications of DS Spread Spectrum Signals /9.2–3 Effect of PulsedInterference on DS Spread Spectrum Systems / 9.2–4 Excision ofNarrowband Interference in DS Spread Spectrum Systems / 9.2–5Generation of PN Sequences
　9.3 Frequency-Hopped Spread SpectrumSignals
　9.3–1 Performance of FH Spread Spectrum Signals in an
　AWGN Channel / 9.3–2 Performance of FH Spread Spectrum
　Signals in Partial-Band Interference / 9.3–3 A CDMA System
　Based on FH Spread Spectrum Signals
　9.4 Other Types of Spread SpectrumSignals
　Problems
Chapter 10 Fading Channels : Characterization and
　Signaling
　10.1 Characterization of Fading MultipathChannels
　10.1–1 Channel Correlation Functions and Power Spectra /
　10.1–2 Statistical Models for Fading Channels
　10.2 The Effect of Signal Characteristics on the Choice of aChannelModel
　10.3 Frequency-Nonselective, Slowly FadingChannel
　10.4 Diversity Techniques for Fading MultipathChannels
　10.4–1 Binary Signals / 10.4–2 Multiphase Signals /10.4–

9787121153259 数字通信(第五版 英文精简版) 电子工业出版社 (美)普罗科斯 epub pdf mobi txt 电子书 下载 2024