Information Theory and Coding by Example
Author:   Mark Kelbert (Swansea University) ,  Yuri Suhov (University of Cambridge) ,  Michael Kelbert
Publisher:   Cambridge University Press
ISBN:  

9780521139885


Pages:   526
Publication Date:   12 September 2013
Format:   Paperback
Availability:   Available To Order   Availability explained
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Information Theory and Coding by Example


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Author:   Mark Kelbert (Swansea University) ,  Yuri Suhov (University of Cambridge) ,  Michael Kelbert
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 17.40cm , Height: 2.70cm , Length: 24.60cm
Weight:   0.930kg
ISBN:  

9780521139885


ISBN 10:   0521139880
Pages:   526
Publication Date:   12 September 2013
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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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


'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 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


Author Information

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.

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