Modern Coding Theory by Tom RichardsonModern Coding Theory by Tom Richardson

Modern Coding Theory

byTom Richardson, Ruediger Urbanke

Hardcover | March 17, 2008

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Having trouble deciding which coding scheme to employ, how to design a new scheme, or how to improve an existing system? This summary of the state-of-the-art in iterative coding makes this decision more straightforward. With emphasis on the underlying theory, techniques to analyse and design practical iterative coding systems are presented. Using Gallager's original ensemble of LDPC codes, the basic concepts are extended for several general codes, including the practically important class of turbo codes. The simplicity of the binary erasure channel is exploited to develop analytical techniques and intuition, which are then applied to general channel models. A chapter on factor graphs helps to unify the important topics of information theory, coding and communication theory. Covering the most recent advances, this text is ideal for graduate students in electrical engineering and computer science, and practitioners. Additional resources, including instructor's solutions and figures, available online:
Tom Richardson is Vice President and Chief Scientist at Flarion Technologies, Inc., New Jersey. He was awarded his Ph.D. in electrical engineering in 1990 from M.I.T., after which he worked for 10 years at the Bell Labs' Mathematical Sciences Research Center. He is the inventor of over 20 patents.
Title:Modern Coding TheoryFormat:HardcoverDimensions:592 pages, 9.72 × 6.85 × 1.42 inPublished:March 17, 2008Publisher:Cambridge University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0521852293

ISBN - 13:9780521852296


Table of Contents

Preface; 1. Introduction; 2. Factor graphs; 3. Binary erasure channel; 4. Binary memoryless symmetric channels; 5. General channels ; 6. Convolutional codes and turbo codes; 7. General ensembles; 8. Expander codes and the flipping algorithm; Appendices: A. Encoding low-density parity-check codes; B. Efficient implementation of density evolution; C. Concentration inequalities; D. Formal power sums.

Editorial Reviews

'There is definitely a market for a book focusing on LDPC codes, and Tom Richardson and Reudiger Urbanke would be on anyone's short list to write that book. They have made substantive contributions to the theory and practice of LDPC codes. I believe this book will become required reading for researchers in LDPC codes at universities and communications companies around the world.' Thomas Fuja, University of Notre Dame