
Information Theory and Coding by Example
Cambridge University Press
Erscheint ca. am 12. September 2013
Buch
Softcover
526 Seiten
978-0-521-13988-5 (ISBN)
Beschreibung
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.
Rezensionen / Stimmen
'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 Wozniak, Zentralblatt MATHWeitere Details
Sprache
Englisch
Verlagsort
Cambridge
Großbritannien
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Produkt-Hinweis
Broschur/Paperback
Illustrationen
Worked examples or Exercises; 30 Line drawings, unspecified
Maße
Höhe: 244 mm
Breite: 170 mm
Dicke: 28 mm
Gewicht
901 gr
ISBN-13
978-0-521-13988-5 (9780521139885)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Mark Kelbert | Yuri Suhov
Information Theory and Coding by Example
Buch
09/2013
Cambridge University Press
221,10 €
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Mark Kelbert | Yuri Suhov
Information Theory and Coding by Example
E-Book
09/2013
1. Auflage
Cambridge University Press
35,49 €
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Personen
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 Sao Paolo in Brazil and to the Moscow Institute of Information Transmission Problems.
Inhalt
1. Essentials of information theory; 2. Introduction to coding theory; 3. Further topics from coding theory; 4. Further topics from information theory; References; Index.