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Information Theory and Coding by Example, by Mark Kelbert, Yuri Suhov
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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.
- Sales Rank: #2784412 in Books
- Published on: 2013-10-28
- Released on: 2013-09-12
- Original language: English
- Number of items: 1
- Dimensions: 9.72" h x 1.06" w x 6.85" l, .0 pounds
- Binding: Paperback
- 526 pages
Review
"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 Woźniak, Zentralblatt MATH
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 São Paolo in Brazil and to the Moscow Institute of Information Transmission Problems.
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