The Theory of Information and Coding: Student Edition (Encyclopedia of Mathematics and its Applications, Series Number 86)

McEliece, R. J.

ISBN 10: 0521831857 / ISBN 13: 9780521831857

Published by Cambridge University Press, 2004

About this Item

Seller Inventory # I-9780521831857

Bibliographic Details

• Title: The Theory of Information and Coding: Student Edition (Encyclopedia of Mathematics and its Applications, Series Number 86)
• Publisher: Cambridge University Press
• Publication Date: 2004
• Language: English
• ISBN 10: 0521831857
• ISBN 13: 9780521831857
• Binding: Hardcover
• Condition: New

About this title

Synopsis

This is a revised edition of McEliece's classic, published with students in mind. It is a self-contained introduction to all basic results in the theory of information and coding. This theory was developed to deal with the fundamental problem of communication, that of reproducing at one point, either exactly or approximately, a message selected at another point. There is a short and elementary overview introducing the reader to the concept of coding. Then, following the main results, the channel and source coding theorems, there is a study of specific coding schemes which can be used for channel and source coding. This volume can be used either for self-study, or for a graduate/undergraduate level course at university. It includes dozens of worked examples and several hundred problems for solution. The exposition will be easily comprehensible to readers with some prior knowledge of probability and linear algebra. Previous Edition Hb (2002): 0-521-00095-5

Book Description

This is a revised edition of McEliece's classic published with students in mind. It is a self-contained introduction to all basic results in the theory of information and coding. This volume can be used either for self-study, or for a graduate/undergraduate level course at university. It includes dozens of worked examples and several hundred problems for solution. The exposition will be easily comprehensible to readers with some prior knowledge of probability and linear algebra.