Coding Theory

San Ling, Chaoping Xing

ISBN 10: 0521821916 / ISBN 13: 9780521821919

Published by Cambridge University Press, GB, 2004

About this Item

Coding theory is concerned with successfully transmitting data through a noisy channel and correcting errors in corrupted messages. It is of central importance for many applications in computer science or engineering. This book gives a comprehensive introduction to coding theory whilst only assuming basic linear algebra. It contains a detailed and rigorous introduction to the theory of block codes and moves on to more advanced topics like BCH codes, Goppa codes and Sudan's algorithm for list decoding. The issues of bounds and decoding, essential to the design of good codes, features prominently. The authors of this book have, for several years, successfully taught a course on coding theory to students at the National University of Singapore. This book is based on their experiences and provides a thoroughly modern introduction to the subject. There are numerous examples and exercises, some of which introduce students to novel or more advanced material.

Seller Inventory # LU-9780521821919

Bibliographic Details

• Title: Coding Theory
• Publisher: Cambridge University Press, GB
• Publication Date: 2004
• Language: English
• ISBN 10: 0521821916
• ISBN 13: 9780521821919
• Binding: Hardback
• Condition: New
• Weight: 697 grams

About this title

Synopsis

Concerned with successfully transmitting data through a noisy channel, coding theory can be applied to electronic engineering and communications. Based on the authors' extensive teaching experience, this text provides a completely modern and accessible course on the subject. It includes sections on linear programming and decoding methods essential for contemporary mathematics. Numerous examples and exercises make the volume ideal for students and instructors.

Book Description

Coding theory is concerned with successfully transmitting data through a noisy channel. It's an extremely popular subject that finds applications in electronic engineering and communications. This book is based on the authors extensive teaching experience and provides a completely modern and accessible course. It includes sections on linear programming and decoding methods that are essential for contemporary mathematics but not covered well in existing textbooks. There are numerous examples and exercises that make this book ideal from the point of view of both students and instructors.