"…a comprehensive view of error coding theory and explores its use and implementation at all network layers…"
(Computing Reviews.com, February 1, 2006)
This book provides a systematic approach to the problems involved in the application of error-correcting codes in data networks.
Over the last two decades the importance of coding theory has become apparent. Thirty years ago developers of communication systems considered error-correcting coding to be somewhat exotic. It was considered as an area of interest only for mathematical engineers or mathematicians involved in the problems of engineering. Today however, theory is an important part of any textbook on communications, and the results of coding theory have become standards in data communication. The increasing demand for communications quality and the progress in information technologies has led to the implementation of error-correcting procedures in practice and an expansion in the area of error-correcting codes applications.
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, and by discussing coding theory 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 and Reed-Solomon codes, LDPC codes decoding, as well as convolutional, turbo and iterative coding
- Considers new areas of application of error correcting codes such as transport coding, code-based cryptosystems 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 and practical recommendations
- Features a companion website containing additional research results including new constructions of LDPC codes, joint error-control coding and synchronization, Reed-Muller codes and their list decoding
By progressing from theory through to practical problem solving, this resource contains invaluable advice for researchers, postgraduate students, engineers and computer scientists interested in data communications and applications of coding theory.
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