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Information Theory and Coding by Example

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Information Theory and Coding by Example

Information Theory and Coding by Example

Mark Kelbert, Swansea University
Yuri Suhov, University of Cambridge
September 2013
Hardback
9780521769358
    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.

    • Course tested by the authors at the University of Cambridge
    • A valuable teaching aid for instructors the world over
    • Covers different aspects to appeal to readers with a background in mathematics, electrical engineering or computer science

    Reviews & endorsements

    '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

    See more reviews

    Product details

    September 2013
    Hardback
    9780521769358
    526 pages
    252 × 178 × 33 mm
    1.08kg
    30 b/w illus. 100 exercises
    Available

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    This title is available for institutional purchase via Cambridge Core

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    Contents

    Table of Contents

    • 1. Essentials of information theory
    • 2. Introduction to coding theory
    • 3. Further topics from coding theory
    • 4. Further topics from information theory
    • References
    • Index.
      • Show more

    Look inside

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    About the authors
      Authors
    • Mark Kelbert , Swansea University

      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 , University of Cambridge

      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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