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Error Control Coding: From Theory to Practice Hardcover - 2002 - 1st Edition
by Peter Sweeney
From the rear cover
Error Control Coding: From Theory to Practice provides a concise introduction to basic coding techniques and their application. The fundamental concepts of coding theory are explained using simple examples with minimum use of complex mathematical tools. The selection of appropriate codes and the design of decoders are discussed.
Bridging the gap between digital communications and information theory, this accessible approach will appeal to students and practising engineers alike. The clear presentation and practical emphasis make this book an excellent tool for both communications and electronic engineering students. Practitioners new to the field will find this text an essential guide to coding. Features include:* End of chapter problems to test and develop the readers understanding of the most popular codes and decoding methods
* Finite field arithematic and algebraic decoding methods for BCH and Reed-Solomon codes
* Detailed coverage of Viterbi decoding and related implementation issues
* Turbo codes and related code types, including Gallager codes and turbo product codes
* Practical examples of MAP and SOVA decoding for turbo codes
Details
- Title Error Control Coding: From Theory to Practice
- Author Peter Sweeney
- Binding Hardcover
- Edition number 1st
- Edition 1
- Pages 252
- Volumes 1
- Language ENG
- Publisher Wiley
- Date 2002
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- ISBN 9780470843567 / 047084356X
- Weight 1.27 lbs (0.58 kg)
- Dimensions 9.92 x 6.54 x 0.77 in (25.20 x 16.61 x 1.96 cm)
- Library of Congress subjects Coding theory, Error-correcting codes (Information theory)
- Library of Congress Catalog Number 2003275605
- Dewey Decimal Code 005.72
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Hardback. New. This book demonstrates the role of coding in communication and data storage systems design, illustrating the correct use of codes and the selection of the right code parameters. Relevant decoding techniques and their implementation are discussed in detail, while emphasizing the fundamental concepts of coding theory with minimal mathematical tools.
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