Information Theory and Coding by Example

A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers.

Mark Kelbert (Author), Yuri Suhov (Author)

9780521769358, Cambridge University Press

Hardback, published 12 September 2013

526 pages, 30 b/w illus. 100 exercises
25.2 x 17.8 x 3.3 cm, 1.08 kg

'This book offers a very good overview of information theory and coding issues enriched with interesting examples selected and proposed by two experienced researchers.' Jozef Wo?niak, Zentralblatt MATH

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.

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

Subject Areas: Probability & statistics [PBT], Coding theory & cryptology [GPJ]