9787121153259 數字通信(第五版 英文精簡版) 電子工業齣版社 (美)普羅科斯

9787121153259 數字通信(第五版 英文精簡版) 電子工業齣版社 (美)普羅科斯 下載 mobi epub pdf 電子書 2024


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圖書介紹

店鋪: 聚雅圖書專營店
齣版社: 電子工業齣版社
ISBN:9787121153259
商品編碼:29353826040
包裝:平裝
齣版時間:2012-01-01


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基本信息

書名:數字通信(第五版 英文精簡版)

定價:59.00元

作者:(美)普羅科斯,(美)薩利希,張力軍 等改編

齣版社:電子工業齣版社

齣版日期:2012-01-01

ISBN:9787121153259

字數:

頁碼:

版次:1

裝幀:平裝

開本:

商品重量:0.781kg

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內容提要


  本書是在《數字通信(第五版)》的基礎上,根據的實際教學情況進行精簡和改編的。主要的精簡原則為:保留信號傳輸理論內容,捨去信息傳輸理論內容,並以傳統而經典的數字傳輸理論為主,無綫通信為輔。改編的部分主要是根據實際教學的常用習慣來進行的。精簡後的內容主要涵蓋:確定與*信號分析;數字調製方法;AWGN信道的*接收機;載波和符號同步;通過帶限信道的數字通信;自適應均衡;多信道和多載波係統;數字通信用擴頻信號;衰落信道:信道特徵與信號傳輸;多天綫係統。

目錄


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 數字通信(第五版 英文精簡版) 電子工業齣版社 (美)普羅科斯 下載 mobi epub pdf txt 電子書 格式


9787121153259 數字通信(第五版 英文精簡版) 電子工業齣版社 (美)普羅科斯 mobi 下載 pdf 下載 pub 下載 txt 電子書 下載 2024

9787121153259 數字通信(第五版 英文精簡版) 電子工業齣版社 (美)普羅科斯 下載 mobi pdf epub txt 電子書 格式 2024

9787121153259 數字通信(第五版 英文精簡版) 電子工業齣版社 (美)普羅科斯 下載 mobi epub pdf 電子書
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