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Error-Correction Coding and Decoding

Language EnglishEnglish
Book Hardback
Book Error-Correction Coding and Decoding Mohammed Ahmed
Libristo code: 33352458
Publishers Saint Philip Street Press, October 2020
This book discusses both the theory and practical applications of self-correcting data, commonly kno... Full description
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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 these 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 work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

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About the book

Full name Error-Correction Coding and Decoding
Language English
Binding Book - Hardback
Date of issue 2020
Number of pages 528
EAN 9781013268151
ISBN 1013268156
Libristo code 33352458
Weight 1497
Dimensions 216 x 279 x 29
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