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Error-Correction Coding and Decoding

Bounds, Codes, Decoders, Analysis and Applications

by Martin Tomlinson, Cen Jung Tjhai, Marcel Ambroze, Mohammed Ahmed, Mubarak Jibril

Error-Correction Coding and Decoding

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Book Description

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 open book is licensed under a Creative Commons License (CC BY). You can download Error-Correction Coding and Decoding ebook for free in PDF format (10.8 MB).

Book Details

Title
Error-Correction Coding and Decoding
Subject
Engineering and Technology
Publisher
Springer
Published
2017
Pages
527
Edition
1
Language
English
ISBN13
9783319511023
ISBN10
3319511025
ISBN13 Digital
9783319511030
ISBN10 Digital
3319511033
PDF Size
10.8 MB
License
CC BY

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