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作者（英）格洛弗（Lan A.Glover），（英）格兰特（Peter M.Grant）著
出版社机械工业出版社
ISBN9787111136866
出版时间2004-02
印刷时间2009
装帧平装
开本16开
页数1000页
定价96元
上书时间2011-03-15
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【作 者】：（英）格洛弗（Lan A.Glover），（英）格兰特（Peter M.Grant）著
【又/译名】：Digital Communications,Second Edition
【丛编项】：经典原版书库
【装帧项】：胶版纸 24cm / 1000
【出版项】：机械工业出版社 / 2004-2-1
【ISBN号】：9787111136866 / 7111136861
【原书定价】：￥96.00
【主题词】：通信－综合
【图书简介】
本书旨在介绍信号处理中的数学理论，并用这些理论来描述现代数字通信技术。本书第1版问世以来，因涵盖范围广，并注重理论、应用与系统实施之间的平衡而深受读者欢迎。第2版除了继续保持原版的所有优点以外，还拥有更好的时效性，在各方在都更加趋于完善。LanA.Glover巴斯大学电子电气工程学部高级讲师，为本科生与研究生讲授数字通信课程。他同时还担任工程师协会第二分部“电信系统工程”考试的联合首席主考官。PeterM.Grant爱丁堡大学工程与电子学院院长。本书内容广泛，包括信息理论、PCM、源编码、加密、通道编码、复用、调幅以及最优化滤波等。对系统噪声和通信链路预算进行了全面的论述。介绍了系统模拟的原理。涉及现代通信系统，包括卫星通信、蜂窝式无线通信等。扩充了网络通信内容，包括SDH、循环分组交换、SS7、ATM与B-LSDN、xDSL、FTTx、电缆、BFWA、HAP、有线与无线LAN和PAN。包含大量的实例，并在每章后附有思考题。更新过的参考资料、网址、标准以及文献书目。可在网上获取问题的概要解决方案。
【本书目录】
Preface
Acknowledgements
List of abbreviations
List of principal symbols
1 Digital communications overview
1.1 Electronic communications
1.2 Sources and sinks of information
1.3 Digital communications equipment
1.3.1 CODECs
1.3.2 Source,security and error control coding
1.3.3 Multiplexers
1.3.4 MODEMs
1.3.5 Multiple accessing
1.4 Radio receivers
1.5 Signal transmission
1.5.1 Line transmission
1.5.2 Radio transmission
1.6 Switching and networks
1.7 Advantages of digital communications
1.8 Summary
Part One Signals and systems theory
2 Periodic and transient signals
2.1 Introduction
2.2 Periodic signals
2.2.1 Sinusoids,cisoids and phasors
2.2.2 Fourier series
2.2.3 Conditions for existence,convergence and Gibb's phenomenon
2.2.4 Bandwidth,rates of change,sampling and aliasing
2.3 Transient signals
2.3.1 Fourier transforms
2.3.2 Practical calculation of Fourier transforms
2.3.3 Fourier transform pairs
2.3.4 Fourier transform theorems and convolution
2.4 Power and enegy sectra
2.5 Generalised orthogonal function expansions
2.5.1 Review of vectors
2.5.2 Vector interpretation of waveforms
2.5.3 Orthogonal and orthonormal signals
2.5.4 Evaluation of basis function coefficients
2.5.5 Error energy and completeness
2.6 Correlation functions
2.7 Summary
2.8 Problems
3 Random Signals and noise
3.1 Introduction
3.2 Probability theory
3.2.1 Conditional probabilities,joint Probabilities and Bayes's rule
3.2.2 Statistical independence
3.2.3 Discrete probability of errors in a data block
3.2.4 Cumulative distributions and probability density functions
3.2.5 Moments,percentiles and modes
3.2.6 Joint and marginal pdfs,correlation and covariance
3.2.7 Joint moments,correlation and covariance
3.2.8 Joint Gaussian raussian random variables
3.2.9 Addition of random variables and the central limit theorem
3.3 Random processes
3.3.1 Stationarity and ergodicity
3.3.2 Strict and loose sense Gaussian processes
3.3.3 Autocorrelation and power spectral density
3.3.4 Signal memory,decorrelation time and white noise
3.3.5 Cross correlation of random processes
3.4 Summary
3.5 Problems
4 Linear systems
4.1 Introduction
4.2 Linear systems
4.2.1 Properties of linear systems
4.2.2 Importance of linear systems
4.3 Time domain description of linear systems
4.3.1 Linear differential equations
4.3.2 Discrete signals and matrix algebra
4.3.3 Continuous signals,convolution and impulse response
4.3.4 Physical interpretation of y(t)=h(t)*x(t)
4.3.5 Step response
4.4 Frequency domain description
4.5 Causality and the Hibert transform
4.6 Random signals and linear systems
4.6.1 Power spectral densities and linear systems
4.6.2 Noise bandwidth
4.6.3 Pdf of filtered noise
4.6.4 Spectrum analysers
4.7 Non-linear systems and transformation of random variables
4.7.1 Rayleigh pdf
4.7.2 Chi-square distributions
4.8 Summary
4.9 Problems
Part Two Digital communications principles
5 Sampling,multiplexing and PCM
5.1 Introduction
5.2 Pulse modulation
5.3 Sampling
5.3.1 Natural and flat topped sampling
5.3.2 Baseband sampling and Nyquist's criterion
5.3.3 Aliasing
5.3.4 Practical sampling,reconstruction and signal to distortion ratio
5.3.5 Bandpass sampling
5.4 Analogue pulse multiplexing
5.5 quantised PAM
5.6 Signal to quantisation noise ration(SNqR)
5.7 Pulse code modulation
5.7.1 SNqR for linear PCM
5.7.2 SNR for decoded PCM
5.7.3 Companded PCM
5.7.4 PCM multiplexing
5.8 Bandwidth reduction techniques
5.8.1 Delta PCM
5.8.2 Differential PCM
5.8.3 Adaptive DPCM
5.8.4 Delta modulation
5.8.5 Adaptive delta modulation
5.9 Summary
5.10 Problems
6 Baseband transmission and line coding
6.1 Introduction
6.2 Baseband centre point detection
6.2.1 Baseband binary error rates in Gaussian noise
6.2.2 Multilevel baseband signalling
6.3 Error accumulation over multiple hops
6.4 Line coding
6.4.1 Unipolar signalling
6.4.2 Polar signalling
6.4.3 Dipolar signalling
6.4.4 Bipolar alternate mark inversion signalling
6.4.5 Pulse synchronisation and HDBn coding
6.4.6 Coded mark inversion(CMI)
6.4.7 nBmT coding
6.5 Multiplex telephony
6.6 Digital signal regeneration
6.6.1 PCM line
6.6.2 Equalisation
6.6.3 Eye diagrams
6.6.4 Crosstalk
6.7 Symbol Timing recovery
6.8 Repeater design
6.9 Digital transmission in local loop
6.10 Summary
6.11 Problems
7 Decision theory
7.1 Introduction
7.2 A priori,conditional and a posteriori probabilities
7.3 Symbol transition matrix
7.3.1 Binary symmetric channel
7.4 Bayes's decision criterion
7.4.1 Decision costs
7.4.2 Expected conditional decision costs
7.4.3 Optimum decision rule
7.4.4 Optimum decision threshold voltage
7.4.5 Average unconditional decision cost
7.5 Neyman-Pearson decision criterion
7.6 Summary
7.7 Problems
8 Optimum filtering for transmission and reception
8.1 Introduction
8.2 Pulse shaping for optimum transmissions
8.2.1 Intersymbol interference(ISI)
8.2.2 Bandlimiting of rectangular pulses
8.2.3 ISI-free signals
8.2.4 Nyquist's vestigal symmetry theorem
8.2.5 Raised cosine filtering
8.2.6 Nyquist filtering for rectangular pulses
8.2.7 Duobinary signalling
8.2.8 Partial response signalling
8.3 Pulse filtering for optimum reception
8.3.1 Matched filtering
8.3.2 Correlation detection
8.3.3 Decision instant SNR
8.3.4 BER performance of optimum receivers
8.3.5 Comparison of baseband matched filtering and centre point detection
8.3.6 Differences between matched filtering and correlation
8.4 Root raised cosine filtering
8.5 Equalisation
8.6 Summary
8.7 Problems
9 Information theory,source coding and encryption
9.1 Introduction
9.2 Information and entropy
9.2.1 The information measure
9.2.2 Multisymbol alphabets
9.2.3 Commonly confused entities
9.2.4 Entropy of a binary source
9.3 Conditional entropy and redundancy
9.4 Information loss due to noise
9.5 Source coding
9.5.1 code efficiency
9.5.2 Decoding variable length codewords
9.6 Variable length coding
9.6.1 Huffman coding
9.7 Source coding examples
9.7.1 Source coding for speech signals
9.7.2 High quality speech coders
9.7.3 Audio coders
9.7.4 String coding
9.8 Data encryption
9.8.1 The locked box analogy
9.8.2 Secrecy
9.8.3 Substitution and permutation
9.8.4 Confusion,diffusion and the unicity distance
9.8.5 Block ciphers and stream ciphers
9.8.6 Product ciphers
9.8.7 Data encryption standard
9.8.8 Public key encryption
9.8.9 Hash functions and OEAP
9.8.10 Hybrid public key/private key encryption and PGP
9.9 Authentication
9.10 Integrity
9.11 Digital Signatures
9.12 Summary
9.13 Problems
10 Error control coding
10.1 Introduction
10.1.1 Error rate control concepts
10.1.2 Threshold phenomenon
10.1.3 Applications for error control
10.2 Hamming distance and codeword wight
10.3 (n,k)block codes
10.3.1 Single parity check code
10.4 Probability of error in n-digit codewords
10.5 Linear group codes
10.5.1 Members of the group code family
10.5.2 Performance prediction
10.5.3 Error detection and correction capability
10.6 Nearest neighbour decoding of block codes
10.6.1 Hamming bound
10.7 Syndrome decoding
10.7.1 The generator matrix
10.7.2 Syndrome table for error correction
10.8 Cyclic codes
10.8.1 Polynomial codeword generation
10.8.2 Interleaving
10.9 Encoding of convolutional codes
10.9.1 Tree diagram representation
10.9.2 Trellis diagram
10.9.3 State transittion diagram
10.10 Viterbi decoding of convoltional codes
10.10.1 Decoding window
10.10.2 Sequential decoding
10.11 Practical coders
10.12 Concatenated coding and turbo codes
10.12.1 Serially concatenated codes
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Appendix A Tabulated values of the error function
Appendix B Summations of common series
Appendix C Internationl Apphaber No.5
Appendix D LAN/MAN example
Standards
WWW addresses
Bibliography
Index
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