Foundations of Coding: Theory and Applications of Error-Correcting Codes with an Introduction to Cryptography and Information Theory / Edition 1 by Jiri Adamek, Jiuri Adamek | | 9780471621874 | Hardcover | Barnes & Noble
Foundations of Coding: Theory and Applications of Error-Correcting Codes with an Introduction to Cryptography and Information Theory / Edition 1

Foundations of Coding: Theory and Applications of Error-Correcting Codes with an Introduction to Cryptography and Information Theory / Edition 1

by Jiri Adamek, Jiuri Adamek
     
 

ISBN-10: 0471621870

ISBN-13: 9780471621874

Pub. Date: 04/08/1991

Publisher: Wiley

Although devoted to constructions of good codes for error control, secrecy or data compression, the emphasis is on the first direction. Introduces a number of important classes of error-detecting and error-correcting codes as well as their decoding methods. Background material on modern algebra is presented where required. The role of error-correcting codes in

Overview

Although devoted to constructions of good codes for error control, secrecy or data compression, the emphasis is on the first direction. Introduces a number of important classes of error-detecting and error-correcting codes as well as their decoding methods. Background material on modern algebra is presented where required. The role of error-correcting codes in modern cryptography is treated as are data compression and other topics related to information theory. The definition-theorem proof style used in mathematics texts is employed through the book but formalism is avoided wherever possible.

Product Details

ISBN-13:
9780471621874
Publisher:
Wiley
Publication date:
04/08/1991
Pages:
352
Product dimensions:
6.34(w) x 9.59(h) x 0.92(d)

Table of Contents

CODING AND INFORMATION THEORY.

Coding and Decoding.

Huffman Codes.

Data Compression and Entropy.

Reliable Communication Through Unreliable Channels.

ERROR-CORRECTING CODES.

Binary Linear Codes.

Groups and Standard Arrays.

Linear Algebra.

Linear Codes.

Reed-Muller Codes: Weak Codes with Easy Decoding.

Cyclic Codes.

Polynomials and Finite Fields.

BCH Codes: Strong Codes Correcting Multiple Errors.

Fast Decoding of BCH Codes.

Convolutional Codes.

CRYPTOGRAPHY.

Cryptography.

Appendices.

Bibliography.

List of Symbols.

Index.

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