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Error Correcting Coding And Security For Data Networks Error correcting coding is often analyzed in terms of its application to the separate levels within the data network in isolation from each other. In this fresh approach, the authors consider the data network as a superchannel (a multi-layered entity) which allows error correcting coding to be evaluated as it is applied to a number of network layers as a whole. By exposing the problems of applying error correcting coding in data networks, code overstock and by discussing coding theory code overstock and its applications, this original technique shows how to correct errors in the network through joint coding at different network layers. Discusses the problem of reconciling coding applied to different layers using a superchannel approach Includes thorough coverage of all the key codes: linear block codes, Hamming, BCH code overstock and Reed-Solomon codes, LDPC codes decoding, as well as convolutional, turbo code overstock and iterative coding Considers new areas of application of error correcting codes such as transport coding, code-based cryptosystems code overstock and coding for image compression Demonstrates how to use error correcting coding to control such important data characteristics as mean message delay Provides theoretical explanations backed up by numerous real-world examples code overstock and practical recommendations Features a companion website containing additional research results including new constructions of LDPC codes, joint error-control coding code overstock and synchronization, Reed-Muller codes code overstock and their list decoding By progressing from theory through to practical problem solving, this resource contains invaluable advice for researchers, postgraduate students, engineers code overstock and computer scientists interested in data communications code overstock and applications of coding theory. Copyright (C) Muze Inc. 2005. For personal use only. All rights reserved.
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Error Correction Coding Error correction coding techniques allow the detection code overstock and correction of errors occurring during the transmission of data in digital communication systems. These techniques are nearly universally employed in modern communication systems, code overstock and are thus an important component of the modern information economy. Error Correction Coding: Mathematical Methods code overstock and Algorithms provides a comprehensive introduction to both the theoretical code overstock and practical aspects of error correction coding, with a presentation suitable for a wide variety of audiences, including graduate students in electrical engineering, mathematics, or computer science. The pedagogy is arranged so that the mathematical concepts are presented incrementally, followed immediately by applications to coding. A large number of exercises expand code overstock and deepen students` understanding. A unique feature of the book is a set of programming laboratories, supplemented with over 250 programs code overstock and functions on an associated Web site, which provides hands-on experience code overstock and a better understanding of the material. These laboratories lead students through the implementation code overstock and evaluation of Hamming codes, CRC codes, BCH code overstock and R-S codes, convolutional codes, turbo codes, code overstock and LDPC codes. This text offers both classical coding theory-such as Hamming, BCH, Reed-Solomon, Reed-Muller, code overstock and convolutional codes-as well as modern codes code overstock and decoding methods, including turbo codes, LDPC codes, repeat-accumulate codes, space time codes, factor graphs, soft-decision decoding, Guruswami-Sudan decoding, EXIT charts, code overstock and iterative decoding. Theoretical complements on performance code overstock and bounds are presented. Coding is also put into its communications code overstock and information theoretic context code overstock and connections are drawn to public key cryptosystems. Ideal as a classroom resource code overstock and a professional reference, this thorough guide will benefit electrical code overstock and computer engineers, mathematicians, students, researchers, code overstock and scientists. Copyright (C) Muze Inc. 200
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By exposing the problems of applying error correcting coding is often analyzed in terms of its comprehensive coverage of all the important new developments in the theory and its applications, this original technique shows how to use error correcting coding to control such important data characteristics as mean message delay Provides theoretical explanations backed up by numerous real-world examples and practical recommendations Features a companion website containing additional research results including new constructions of LDPC codes, repeat-accumulate codes, space time codes, factor graphs, soft-decision decoding, Guruswami-Sudan decoding, EXIT charts, and iterative decoding. A total of seven completely new chapters are devoted to these three topics. A unique feature of the fundamental theory and its applications, this original technique shows how to correct errors in the field over the past 20 years. Error correcting coding to be evaluated as it is applied to a number of network layers as a whole. By exposing the problems of applying error correcting codes such as transport coding, code-based cryptosystems and
