Error-Correction Coding and Decoding - Mohammed Ahmed - Books - Saint Philip Street Press - 9781013268144 - October 8, 2020
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Error-Correction Coding and Decoding

Mohammed Ahmed

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Error-Correction Coding and Decoding

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.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released October 8, 2020
ISBN13 9781013268144
Publishers Saint Philip Street Press
Pages 528
Dimensions 216 × 280 × 27 mm   ·   1.21 kg
Language English  

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