Information Theory and Coding by Example - Couverture rigide

Kelbert, Mark; Suhov, Yuri

Couverture rigide

ISBN 10 : 0521769353 ISBN 13 : 9780521769358

Editeur : Cambridge University Press, 2013

Synopsis

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.

A propos du livre

À propos des auteurs

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.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2013
• Langue: anglais
• ISBN 10: 0521769353
• ISBN 13: 9780521769358
• Reliure: Relié
• Nombre de pages: 526
• Coordonnées du fabricant: non disponible
• Personne responsable: Avery; https://www.avery.fr/; ; chemin des peupliers 27; Dardilly; France