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Error-Correction Coding and Decoding: Bounds, Codes, Decoders, Analysis and Applications

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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 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.

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Detail Information

Series Title

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Call Number

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Publisher

Cham : Springer Cham., 2017

Collation

XX, 522

Language

English

ISBN/ISSN

9783319511030

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Specific Detail Info

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Statement of Responsibility

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

Other Information

Cataloger

Kholif Basri

Source

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Validator

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Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-319-51103-0

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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