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Performance Analysis and Modeling of Digital Transmission Systems

BuchKartoniert, Paperback
441 Seiten
Englisch
Springererschienen am08.05.2013Softcover reprint of the original 1st ed. 2004
This book is an expanded third edition of the book Performance Analysis of Digital Transmission Systems, originally published in 1990. Two basic problems arise in mathematical modeling: the problem of identifying a system and the problem of applying a model to the system analysis.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR53,49
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Produkt

KlappentextThis book is an expanded third edition of the book Performance Analysis of Digital Transmission Systems, originally published in 1990. Two basic problems arise in mathematical modeling: the problem of identifying a system and the problem of applying a model to the system analysis.
Details
ISBN/GTIN978-1-4613-4781-1
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2013
Erscheinungsdatum08.05.2013
AuflageSoftcover reprint of the original 1st ed. 2004
ReiheInformation Technology: Transmission, Processing and Storage
Seiten441 Seiten
SpracheEnglisch
Gewicht866 g
IllustrationenXXI, 441 p.
Artikel-Nr.29954678

Inhalt/Kritik

Inhaltsverzeichnis
Preface.- Notation.- 1. Error Source Models.- 1.1 Description of Error Sources by Hidden Markov Models.- 1.2 Binary Symmetric Stationary Channel.- 1.3 Error Source Description by Matrix Processes.- 1.4 Error Source Description by Semi-Markov Processes.- 1.5 Some Particular Error Source Models.- 1.6 Conclusion.- References.- 2. Matrix Probabilities.- 2.1 Matrix Probabilities and Their Properties.- 2.2 Matrix Transforms.- 2.3 Matrix Distributions.- 2.4 Markov Functions.- 2.5 Monte Carlo Method.- 2.6 Computing Scalar Probabilities.- 2.7 Conclusion.- References.- 3. Model Parameter Estimation.- 3.1 The Em Algorithm.- 3.2 Baum-Welch Algorithm.- 3.3 Markov Renewal Process.- 3.4 Matrix-Geometric Distribution Parameter Estimation.- 3.5 Matrix Process Parameter Estimation.- 3.6 Hmm Parameter Estimation.- 3.7 Monte Carlo Method of Model Building.- 3.8 Error Source Model in Several Channels.- 3.9 Conclusion.- References.- 4. Performance of Forward Error-Correction Systems.- 4.1 Basic Characteristics of One-Way Systems.- 4.2 Elements of Error-Correcting Coding.- 4.3 Maximum A Posteriori Decoding.- 4.4 Block Code Performance Characterization.- 4.5 Convolutional Code Performance.- 4.6 Computer Simulation.- 4.7 Zero-Redundancy Codes.- 4.8 Conclusion.- References.- 5. Performance Analysis of Communication Protocol.- 5.1 Basic Characteristics of Two-Way Systems.- 5.2 Return-Channel Messages.- 5.3 Synchronization.- 5.4 Arq Performance Characteristics.- 5.5 Delay-Constained Systems.- 5.6 Conclusion.- References.- 6. Continuous Time Hmm.- 6.1 Continuous and Discrete Time Hmm.- 6.2 Fitting Continuous Time Hmm.- 6.3 Conclusion.- References.- 7. Continuous State Hmm.- 7.1 Continuous and Discrete State Hmm.- 7.2 Operator Probability.- 7.3 Filtering, Prediction, and Smoothing.- 7.4 Linear Systems.- 7.5 Autoregressive Moving Average Processes.- 7.6 Parameter Estimation.- 7.7 Arma Channel Modeling.- 7.8 Conclusion.- References.- Appendix 1.- 1.1 Matrix Processes.- 1.2 Markov Lumpable Chains.- 1.3 Semi-Markov Lumpable Chains.- References.- Appendix 2.- 2.1 Asymptotic Expansion of Matrix Probabilities.- 2.2 Chernoff Bounds.- 2.3 Block Graphs.- References.- Appendix 3.- 3.1 Statistical Inference.- 3.2 Markov Chain Model Building.- 3.3 Semi-Markov Process Hypothesis Testing.- 3.4 Matrix Process Parameter Estimation.- References.- Appendix 4.- 4.1 Sums With Binomial Coefficients.- 4.2 Maximum-Distance-Separable Code Weight Generating Function.- 4.3 Union Bounds on Viterbi Algorithm Performance.- References.- Appendix 5.- 5.1 Matrices.- References.- Appendix 6.- 6.1 Markov Chains and Graphs.- References.- Appendix 7.- 7.1 Markov Processes.- 7.2 Gauss-Markov Processes.- References.mehr

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