Information Theory and Coding by Example - Mark Kelbert, Yuri Suhov

Information Theory and Coding by Example

Buch | Softcover
526 Seiten
2013
Cambridge University Press (Verlag)
978-0-521-13988-5 (ISBN)
58,60 inkl. MwSt
Introducing both the probabilistic and algebraic aspects of the subject, this book provides relevant background material, a wide range of examples and clear solutions to problems from real exam papers. It is a valuable teaching aid for 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.

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.

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

Zusatzinfo Worked examples or Exercises; 30 Line drawings, unspecified
Verlagsort Cambridge
Sprache englisch
Maße 174 x 246 mm
Gewicht 930 g
Themenwelt Informatik Theorie / Studium Kryptologie
Mathematik / Informatik Mathematik Algebra
ISBN-10 0-521-13988-0 / 0521139880
ISBN-13 978-0-521-13988-5 / 9780521139885
Zustand Neuware
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