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數(shù)字通信基礎(chǔ)(改編版)

數(shù)字通信基礎(chǔ)(改編版)

定 價:¥57.00

作 者: (美)斯克拉
出版社: 高等教育出版社
叢編項: 國外電氣信息類優(yōu)秀教材改編系列
標(biāo) 簽: 暫缺

ISBN: 9787040183573 出版時間: 2006-03-01 包裝: 平裝
開本: 16開 頁數(shù): 714 字數(shù):  

內(nèi)容簡介

  Bernard Sklar所著的Digital Communications—Fundamentals and Applications ( SecondEdition) 是PEARSON EDUCATION 出版的一本很實用的數(shù)字通信教科書,它在本學(xué)科非常有影響。該書系統(tǒng)全面地論述了數(shù)字通信的基本理論,并對數(shù)字通信領(lǐng)域的許多新技術(shù)和新應(yīng)用作了適當(dāng)?shù)慕榻B。本書就是這本書的英文改編版,并經(jīng)Bernard Sklar教授親自選定英文書名。 本書在改編時從原書中刪去了一部分超出本科一學(xué)期教學(xué)需要的內(nèi)容,刪去部分包括原書通信鏈路分析、信道編碼、加密和解密、衰落信道的內(nèi)容。把信源編碼中的差分脈沖編碼調(diào)制和自適應(yīng)預(yù)測合并到格式化和基帶調(diào)制中,另外,將原書第11和12兩章中的11.1節(jié)和12.1-12.5節(jié)內(nèi)容整合在一起,組成本書第9章,而將其余各節(jié)刪去。根據(jù)上述對原書各章節(jié)內(nèi)容的重新編排,對各章所附的參考文獻、習(xí)題、思考題等均作了相應(yīng)的重新整合。除了上述各章內(nèi)容安排上所作的刪改調(diào)整,以及少量必要的文字改動和個別印刷錯誤的訂正以保持內(nèi)容的連貫性、整體性和正確性外,本書原樣保留原書的序言、圖文和其他內(nèi)容,不作改動,以保持原書的特點和風(fēng)格。本書可作為普通高等院校電子信息、通信工程高年級本科生和一年級研究生的教才或參考書使用。

作者簡介

暫缺《數(shù)字通信基礎(chǔ)(改編版)》作者簡介

圖書目錄

PREFACE
Of Digital Communications:Fundamentals and Applications——Second Edition
1 SIGNALS AND SPECTRA
1.1 Digital Communication Signal Processing
1.1.1 Why Digital?
1.1.2 Typical Block Diagram and Transformations
1.1.3 Basic Digital Communication Nomenclature
1.1.4 Digital versus Analog Performance Criteria
1.2 Classification of Signals
1.2.1 Deterministic and Random Signals
1.2.2 Periodic and Nonperiodic Signals
1.2.3 Analog and Discrete Signals
1.2.4 Energy and Power Signals
1.2.5 The Unit Impulse Function
1.3 Spectral Density
1.3.1 Energy Spectral Density
1.3.2 Power Spectral Density
1.4 Autocorrelation
1.4.1 Autocorrelation of an Energy Signal
1.4.2 Autocorrelation of a Periodic (Power) Signal
1.5 Random Signals
1.5.1 Random Variables
1.5.2 Random Processes
1.5.3 Time Averaging and Ergodicity
1.5.4 Power Spectral Density and A utocorrelation of a Random Process
1.5.5 Noise in Communication Systems
1.6 Signal Transmission through Linear Systems
1.6.1 Impulse Response
1.6.2 Frequency Transfer Function
1.6.3 Distortionless Transmission
1.6.4 Signals,Circuits,and Spectra
1.7 Bandwidth of Digital Data
1.7.1 Baseband versus Bandpass
1.7.2 The Bandwidth Dilemma
1.8 Conclusion
2 FORMATTING AND BASEBAND MODULATION
2.1 Baseband Systems
2.2 Formatting Textual Data(Character Coding)
2.3 Messages,Characters,and Symbols
2.3.1 Example of MessagesCharactersand Symbols
2.4 Formatting Analog Information
2.4.1 The Sampling Theorem
2.4.2 Aliasing
2.4.3 Why Oversample?
2.4.4 Signal Interface for a Digital System
2.5 Sources of Corruption
2.5.1 Sampling and Quantizing Effects
2.5.2 Channel Effects
2.5.3 Signal-to-Noise Ratio for Quantized Pulses
2.6 Pulse Code Modulation
2.7 Uniform and Nonuniform Quantization
2.7.1 Statistics of Speech Amplitudes
2.7.2 Nonuniform Quantization
2.7.3 Companding Characteristics
2.8 Differential Pulse-Code Modulation
2.8.1 One-Tap Prediction
2.8.2 N-Tap Prediction
2.8.3 Delta Modulation
2.8.4 Sigma-Delta Modulation
2.8.5 Sigma-Delta A-to-D Converter(ADC)
2.8.6 Sigma-Delta D-to-A Converter(DAC)
2.9 Adaptive Prediction
2.9.1 Forward Adaptation
2.9.2 Synthesis/Analysis Coding
2.10 Baseband Transmission
2.10.1 Waveform Representation of Binary Digits
2.10.2 PCM Waveform Types
2.10.3 Spectral Attributes of PCM Waveforms
2.10.4 Bits per PCM Word and Bits per Symbol
2.10.5 M-ary Pulse-Modulation Waveforms
2.11 Correlative Coding
2.11.1 Duobinary Signaling
2.11.2 Duobinary Decoding
2.11.3 Precoding
2.11.4 Duobinary Equivalent Transfer Function
2.11.5 Comparison of Binary with Duobinary Signaling
2.11.6 Polybinary Signaling
2.12 Conclusion
3 BASEBAND DEMODULATION/DETECTION
3.1 Signals and Noise
3.1.1 Error-Performance Degradation in Communication Systems
3.1.2 Demodulation and Detection
3.1.3 A Vectorial View of Signals and Noise
3.1.4 The Basic SNR Parameter for Digital Communication Systems
3.1.5 Why Eb/No Is a Natural Figure of Merit
3.2 Detection of Binary Signals in Gaussian Noise
3.2.1 Maximum Likelihood Receiver Structure
3.2.2 The Matched Filter
3.2.3 Correlation Realization of the Matched Filter
3.2.4 Optimizing Error Performance
3.2.5 Error Probability Performance of Binary Signaling
3.3 Intersymbol Interference
3.3.1 Pulse Shaping to Reduce ISI
3.3.2 Two Types of Error-Performance Degradation
3.3.3 Demodulation/Detection of Shaped Pulses
3.4 Equalization
3.4.1 Channel Characterization
3.4.2 Eye Pattern
3.4.3 Equalizer Filter Types
3.4.4 Preset and Adaptive Equalization
3.4.5 Filter Update Rate
3.5 Conclusion
4 BANDPASS MODULATION AND DEMODULATION
4.1 Why Modulate?
4.2 Digital Bandpass Modulation Techniques
4.2.1 Phasor Representation of a Sinusoid
4.2.2 Phase Shift Keying
4.2.3 Frequency Shift Keying
4.2.4 Amplitude Shift Keying
4.2.5 Amplitude Phase Keying
4.2.6 Waveform Amplitude Coefficient
4.3 Detection of Signals in Gaussian Noise
4.3.1 Decision Regions
4.3.2 Correlation Receiver
4.4 Coherent Detection
4.4.I Coherent Detection of PSK
4.4.2 Sampled Matched Filter
4.4.3 Coherent Detection of Multiple Phase-Shift Keying
4.4.4 Coherent Detection of FSK
4.5 Noncoherent Detection
4.5.1 Detection of Differential PSK
4.5.2 Binary Differential PSK Example
4.5.3 Noncoherent Detection of FSK
4.5.4 Required Tone Spacing for Noncoherent Orthogonal FSK Signaling
4.6 Complex Envelope
4.6.1 Quadrature Implementation of a Modulator
4.6.2 D8 PSK Modulator Example
4.6.3 D8PSK Demodulator Example
4.7 Error Performance for Binary Systems
4.7.1 Probability of Bit Error for Coherently Detected BPSK
4.7.2 Probability of Bit Error for Coherently DetectedDifferentially Encoded Binary PSK
4.7.3 Probability of Bit Error for Coherently Detected Binary Orthogonal FSK
4.7.4 Probability of Bit Error for Noncoherently Detected Binary Orthogonal FSK
4.7.5 Probability of Bit Error for Binary DPSK
4.7.6 Comparison of Bit Error Performance for Various Modulation Types
4.8 M-ary Signaling and Performance
4.8.1 Ideal Probability of Bit Error Performance
4.8.2 M-ary Signaling
4.8.3 Vectorial View of MPSK Signaling
4.8.4 BPSK and QPSK Have the Same Bit Error Probability
4.8.5 Vectorial View of MFSK Signaling
4.9 Symbol Error Performance for M-ary Systems(M>2)
4.9.1 Probability of Symbol Error for MPSK
4.9.2 Probability of Symbol Error for MFSK
4.9.3 Bit Error Probability versus Symbol Error Probability for Orthogonal Signals
4.9.4 Bit Error Probability versus Symbol Error Probability for Multiple Phase Signaling
4.9.5 Effects of Intersymbol Interference
4.10 Conclusion
5 CHANNEL CODING:PART 1
……
6 CHANNEL CODING:PART 2
7 MODULATION AND CODING TRADE-OFFS
8 SYNCHRONIZATION
9 MULTIPLEXING,MULTIPLE ACCESS AND SPREAD SPECTRUM
A A REVIEW OF FOURIER TECHNIQUES
B FUNDAMENTALS OF STATISTICAL DECISION THEORY
C RESPONSE OF CORRELATORS TO WHITE NOISE
D OFTEN-USED IDENTITIES
E s-DOMAIN,z-DOMAIN AND DIGITAL FILTERING
F LIST OF SYMBOLS
INDEX

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