Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Beschreibung
A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers.
A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers.
Über den Autor
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).
Inhaltsverzeichnis
1. Essentials of information theory; 2. Introduction to coding theory; 3. Further topics from coding theory; 4. Further topics from information theory; References; Index.
Details
Erscheinungsjahr: 2013
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780521139885
ISBN-10: 0521139880
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Kelbert, Mark
Suhov, Yuri
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 244 x 170 x 28 mm
Von/Mit: Mark Kelbert (u. a.)
Erscheinungsdatum: 12.09.2013
Gewicht: 0,901 kg
Artikel-ID: 134346579