Error-Correction Coding and Decoding - Mohammed Ahmed - Livros - Saint Philip Street Press - 9781013268144 - 8 de outubro de 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.

Mídia Livros     Paperback Book   (Livro de capa flexível e brochura)
Lançado 8 de outubro de 2020
ISBN13 9781013268144
Editoras Saint Philip Street Press
Páginas 528
Dimensões 216 × 280 × 27 mm   ·   1,21 kg
Idioma English  

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