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A01=Mark Kelbert
A01=Yuri Suhov
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Age Group_Uncategorized
Author_Mark Kelbert
Author_Yuri Suhov
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Category=GPJ
Category=PBF
Category=PBT
COP=United Kingdom
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Language_English
PA=In stock
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Information Theory and Coding by Example

★★★★★
★★★★★

English

By (author): Mark Kelbert Yuri Suhov

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. See more
€53.09
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A01=Mark KelbertA01=Yuri SuhovAge Group_UncategorizedAuthor_Mark KelbertAuthor_Yuri Suhovautomatic-updateCategory1=Non-FictionCategory=GPJCategory=PBFCategory=PBTCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 930g
  • Dimensions: 174 x 246mm
  • Publication Date: 12 Sep 2013
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9780521139885

About Mark KelbertYuri Suhov

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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