Information Theory and Coding by Example

by Mark Kelbert, Yuri Suhov

Overview

This fundamental monograph introduces both the probabilistic and algebraic aspects of information theory and coding. It has evolved from the authors' years of experience teaching at the undergraduate level, including several Cambridge Maths Tripos courses. The book provides relevant background material, a wide range of worked examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for undergraduate and graduate students, or for researchers and engineers who want to grasp the basic principles.

Product Details

ISBN-13:	9781107289406
Publisher:	Cambridge University Press
Publication date:	09/12/2013
Sold by:	Barnes & Noble
Format:	eBook
File size:	28 MB
Note:	This product may take a few minutes to download.

About the Author

Mark Kelbert is a Reader in Statistics in the Department of Mathematics at Swansea University. For many years he has also been associated with the Moscow Institute of Information Transmission Problems and the International Institute of Earthquake Prediction Theory and Mathematical Geophysics (Moscow).
Yuri Suhov is a Professor of Applied Probability in the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge (Emeritus). He is also affiliated to the University of São Paolo in Brazil and to the Moscow Institute of Information Transmission Problems.

Table of Contents

1. Essentials of information theory; 2. Introduction to coding theory; 3. Further topics from coding theory; 4. Further topics from information theory; References; Index.