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Information Theory and Coding by Example

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Information Theory and Coding by Example

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Description

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.

Author Biography:

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.
Release date Australia
September 12th, 2013
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
  • Tertiary Education (US: College)
  • Undergraduate
Illustrations
Worked examples or Exercises; 30 Line drawings, unspecified
Pages
526
Dimensions
174x246x27
ISBN-13
9780521139885
Product ID
18389102

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