Error Correcting Coding and Security for Data Networks 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.

Error Correcting Coding and Security for Data Networks considers new areas of application of error correcting codes such as transport coding, code-based cryptosystems and coding for image compression.

It demonstrates how to use error correcting coding to control such important data characteristics as mean message delay. Error Correcting Coding and Security for Data Networks also provides theoretical explanations backed up by numerous real-world examples and practical recommendations.

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.

Contents:

1. Problems facing error control coding in data networks
2. Block codes
3. General methods of decoding of linear codes
4. Codes with algebraic decoding
5. Decoding of LDPC codes
6. Convolutional codes and turbo-codes
7. Coding of messages at the transport layer of the data network
8. Providing security of data in a network with the help of coding methods
9. Reconciliation of coding at different layers of a network

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ORDER NOW Error Correcting Coding and Security for Data Networks Analysis of the Superchannel Concept by G. Kabatiansky 2005 • 278 pages • $149.00 + shipping Texas residents please add 6.75 % sales tax