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Information Theory and Coding by Example
Mark Kelbert
€ 45.99
€ 41.36
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Description for Information Theory and Coding by Example
paperback. A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers. Num Pages: 526 pages, 30 b/w illus. 100 exercises. BIC Classification: GPJ; PBF; PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 245 x 174 x 29. Weight in Grams: 930.
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.
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.
Product Details
Format
Paperback
Publication date
2013
Publisher
Cambridge University Press United Kingdom
Number of pages
526
Condition
New
Number of Pages
526
Place of Publication
Cambridge, United Kingdom
ISBN
9780521139885
SKU
V9780521139885
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-12
About Mark Kelbert
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 ... Read more
Reviews for Information Theory and Coding by Example
'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