A First Course in Coding Theory

By: Raymond Hill

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Paperback | 12 June 1986

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264 Pages

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21.59 x 13.97 x 1.4

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Algebraic coding theory is a new and rapidly developing subject, popular for its many practical applications and for its fascinatingly rich mathematical structure. This book provides an elementary yet rigorous introduction to the theory of error-correcting codes. Based on courses given by the author over several years to advanced undergraduates and first-year graduated students, this guide includes a large number of exercises, all with solutions, making the book highly suitable for individual study.

Industry Reviews

This clearly written, error-free book with its good problem sets is well worth considering as a text. --SIAM Review

Given that the author views coding theory as a branch of mathematics, the book is excellent. --The American Mathematical Monthly

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You Can Find This Book In

Non-Fiction Reference, Information & Interdisciplinary Subjects Research & Information Information theory Computing & I.T.Computer Programming & Software Development Algorithms & Data Structures Computer Science Mathematical Theory of Computation Mathematics Applied Mathematics Engineering & Technology

Agriculture & Farming Information Technology General Issue Algebra

Introduction to Error-Correcting Codes
The Main Coding Theory Problem
An Introduction to Finite Fields
Vector Spaces over Finited Fields
Introduction to Linear Codes
Encoding and Decoding with a Linear Code
The Dual Code, the Parity-Check Matrix, and Syndrome Decoding
The Hamming Codes
Perfect Codes
Codes and Latin Squares
A Double-Error Correcting Decimal Code and an Introduction to BCH Codes
Cyclic Codes
Weight Enumerators
The Main Linear Coding Theory Problem
MDS Codes
Concluding Remarks, Related Topics, and Further Reading
Solutions to Exercises
Table of Contents provided by Publisher. All Rights Reserved.

A First Course in Coding Theory

At a Glance

Paperback

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

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