Description
A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers.
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 Sao Paolo in Brazil and to the Moscow Institute of Information Transmission Problems.
Reviews
'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 Wozniak, Zentralblatt MATH
Book Information
ISBN 9780521139885
Author Mark Kelbert
Format Paperback
Page Count 526
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 930g
Dimensions(mm) 246mm * 174mm * 27mm