Error-Correction Coding and Decoding

Error-Correction Coding and Decoding

EnglishHardbackPrint on demand
Tomlinson Martin
Springer, Berlin
EAN: 9783319511023
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Detailed information

This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies, from smartphones to secure communications and transactions. Written in a readily understandable style, the book presents the authors’ twenty-five years of research organized into five parts:

Part I is concerned with the theoretical performance attainable by using error correcting codes to achieve communications efficiency in digital communications systems.

Part II explores the construction of error-correcting codes and explains the different families of codes and how they are designed. Techniques are described for producing the very best codes.

Part III addresses the analysis of low-density parity-check (LDPC) codes, primarily to calculate their stopping sets and low-weight codeword spectrum which determines the performance of th

ese codes.

Part IV deals with decoders designed to realize optimum performance.

Part V describes applications which include combined error correction and detection, public key cryptography using Goppa codes, correcting errors in passwords and watermarking.

This book is a valuable resource for anyone interested in error-correcting codes and their applications, ranging from non-experts to professionals at the forefront of research in their field.

This book is open access under a CC BY 4.0 license.

EAN 9783319511023
ISBN 3319511025
Binding Hardback
Publisher Springer, Berlin
Publication date March 2, 2017
Pages 522
Language English
Dimensions 235 x 155
Country Switzerland
Readership Professional & Scholarly
Authors Ahmed, Mohammed; Ambroze Marcel A.; Jibril, Mubarak; Tjhai, Cen Jung; Tomlinson Martin
Illustrations XX, 522 p. 134 illus., 82 illus. in color.
Edition 1st ed. 2017
Series Signals and Communication Technology