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A course in algebraic error-correcti...

Ball, Simeon.

A course in algebraic error-correcting codes

Record Type:	Electronic resources : Monograph/item
Title/Author:	A course in algebraic error-correcting codesby Simeon Ball.
Author:	Ball, Simeon.
Published:	Cham :Springer International Publishing :2020.
Description:	xiii, 177 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Error-correcting codes (Information theory)
Online resource:	https://doi.org/10.1007/978-3-030-41153-4
ISBN:	9783030411534$q(electronic bk.)

A course in algebraic error-correcting codes
Ball, Simeon.

A course in algebraic error-correcting codes[electronic resource] /by Simeon Ball. - Cham :Springer International Publishing :2020. - xiii, 177 p. :ill., digital ;24 cm. - Compact textbooks in mathematics,2296-4568. - Compact textbooks in mathematics..

Euclidean Plane -- Sphere -- Stereographic Projection and Inversions -- Hyperbolic Plane -- Lorentz-Minkowski Plane -- Geometry of Special Relativity -- Answers to Selected Exercises -- Index.

This textbook provides a rigorous mathematical perspective on error-correcting codes, starting with the basics and progressing through to the state-of-the-art. Algebraic, combinatorial, and geometric approaches to coding theory are adopted with the aim of highlighting how coding can have an important real-world impact. Because it carefully balances both theory and applications, this book will be an indispensable resource for readers seeking a timely treatment of error-correcting codes. Early chapters cover fundamental concepts, introducing Shannon's theorem, asymptotically good codes and linear codes. The book then goes on to cover other types of codes including chapters on cyclic codes, maximum distance separable codes, LDPC codes, p-adic codes, amongst others. Those undertaking independent study will appreciate the helpful exercises with selected solutions. A Course in Algebraic Error-Correcting Codes suits an interdisciplinary audience at the Masters level, including students of mathematics, engineering, physics, and computer science. Advanced undergraduates will find this a useful resource as well. An understanding of linear algebra is assumed.

ISBN: 9783030411534$q(electronic bk.)

Standard No.: 10.1007/978-3-030-41153-4doiSubjects--Topical Terms:

184310
Error-correcting codes (Information theory)

LC Class. No.: QA268 / .B355 2020

Dewey Class. No.: 005.717

A course in algebraic error-correcting codes
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245 1 2 $a A course in algebraic error-correcting codes $h [electronic resource] / $c by Simeon Ball.
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300 $a xiii, 177 p. : $b ill., digital ; $c 24 cm.
490 1 $a Compact textbooks in mathematics, $x 2296-4568
505 0 $a Euclidean Plane -- Sphere -- Stereographic Projection and Inversions -- Hyperbolic Plane -- Lorentz-Minkowski Plane -- Geometry of Special Relativity -- Answers to Selected Exercises -- Index.
520 $a This textbook provides a rigorous mathematical perspective on error-correcting codes, starting with the basics and progressing through to the state-of-the-art. Algebraic, combinatorial, and geometric approaches to coding theory are adopted with the aim of highlighting how coding can have an important real-world impact. Because it carefully balances both theory and applications, this book will be an indispensable resource for readers seeking a timely treatment of error-correcting codes. Early chapters cover fundamental concepts, introducing Shannon's theorem, asymptotically good codes and linear codes. The book then goes on to cover other types of codes including chapters on cyclic codes, maximum distance separable codes, LDPC codes, p-adic codes, amongst others. Those undertaking independent study will appreciate the helpful exercises with selected solutions. A Course in Algebraic Error-Correcting Codes suits an interdisciplinary audience at the Masters level, including students of mathematics, engineering, physics, and computer science. Advanced undergraduates will find this a useful resource as well. An understanding of linear algebra is assumed.
650 0 $a Error-correcting codes (Information theory) $3 184310
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950 $a Mathematics and Statistics (Springer-11649)