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OverviewError detecting codes are popular for error control in practical systems for two reasons. First, such codes can be used to provide any desired reliability of communication over any noisy channel. Second, implementation is usually much simpler than for a system using error correcting codes. To consider a particular code for use in such a system, it is important to be able to calculate/estimate the probability of undetected error. For the binary symmetric channel, the probability of undetected error can be expressed in terms of the weight distribution of the code. The first part of the book gives a description of known methods to calculate or estimate the probability of undetected error, for the binary symmetric channel in particular, but a number of other channel models are also considered. The second part of the book describes a number of protocols for feedback communication systems (ARQ systems), with methods for optimal choice of error detecting codes for the protocols. Full Product DetailsAuthor: Torleiv Kløve , Valery KorzhikPublisher: Springer Imprint: Springer Edition: 1995 ed. Volume: 335 Dimensions: Width: 15.50cm , Height: 1.50cm , Length: 23.50cm Weight: 1.220kg ISBN: 9780792396291ISBN 10: 0792396294 Pages: 249 Publication Date: 30 September 1995 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPREFACE.- 1 CHANNEL MODELS.- 1.1 Introduction.- 1.2 Channels Without Memory.- 1.3 Channels With Memory.- 1.4 Channel Transforms.- 1.5 Comments and References.- 2 BASICS ON ERROR CONTROL.- 2.1 ABC on Linear Codes.- 2.2 Weight Distributions.- 2.3 Principles of Error Detection.- 2.4 Combined Correction and Detection.- 2.5 Comments and References.- 3 ERROR DETECTING CODES FOR THE BSC.- 3.1 Basic Formulas and Bounds.- 3.2 Finding the Average.- 3.3 The Worst-Case Error Probability.- 3.4 P1e for a Linear Code and its Dual.- 3.5 General Bounds.- 3.6 Optimal Codes.- 3.7 New Codes from Old.- 3.8 Combined Correction and Detection.- 3.9 Complexity of Computing Pue(C, p).- 3.10 Particular Codes.- 3.11 How to Find the Code You Need.- 3.12 Comments and References.- 4 CODES FOR OTHER CHANNELS.- 4.1 The Z-channel.- 4.2 Channels With Memory.- 4.3 Conclusions.- 4.4 Comments and References.- 5 PROTOCOLS.- 5.1 Introduction..- 5.2 The Main Criteria of FS Efficiency.- 5.3 Basic Protocols for Decision Feedback Systems.- 5.4 Protocols With Information Feedback.- 5.5 Conclusions.- 5.6 Appendix: Signal Flow Graphs for Protocol Analysis.- 5.7 Comments and References.- 6 CODE OPTIMIZATION.- 6.1 Basic Criteria for Optimization.- 6.2 Channels Without Memory.- 6.3 Channels With Memory.- 6.4 Iterative and Concatenated Codes.- 6.5 Optimization of Protocols.- 6.6 Comments and References.- 7 CONCLUDING REMARKS.- REFERENCES.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |