Information Theory and Coding by Example - Brossura

Kelbert, Mark

 
9780521139885: Information Theory and Coding by Example

Sinossi

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

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Informazioni sugli autori

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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Altre edizioni note dello stesso titolo

9780521769358: Information Theory and Coding by Example

Edizione in evidenza

ISBN 10:  0521769353 ISBN 13:  9780521769358
Casa editrice: Cambridge University Press, 2013
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