Error Correcting Coding and Security for Data Networks: Analysis of the Superchannel Concept - Tapa dura

Acerca del autor

Grigorii Kabatiansky is the author of Error Correcting Coding and Security for Data Networks: Analysis of the Superchannel Concept, published by Wiley.

Professor Evgenii Krouk has worked in the field of communication theory and techniques for more than 30 years. His areas of interests are coding theory, the mathematical theory of communications and cryptography. He is now the Dean of the Information Systems and Data Protection Faculty of the Saint-Petersburg State University of Aerospace Instrumentation. He is author of 3 books, more than 100 scientific articles and 30 international and Russian patents.

Sergei Semenov received his Ph.D. degree from St.-Petersburg State University for Airspace Instrumentation (SUAI), Russia in 1993. Dr. Semenov joined Nokia Corporation in 1999 and is currently a Specialist in Modem Algorithm Design/Wireless Modem. His research interests include coding and communication theory and their application to communication systems.

De la contraportada

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.