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Information and Communication Theory

contributor Rioul, Olivier
Randriambololona, Hugues
Belfiore, Jean-Claude
Rekaya, Ghaya
Alleaume, Romain
creator Rioul, Olivier
Cohen, Gérard
date 2008-01-10
description Information theory for source and channel coding: from mathematical tools (entropy, mutual information) to Shannon's coding theorems.
The theoretical part of the design of communication systems is based on communication theory, which includes all aspects of coding (source and channel coding, cyphering, etc). In 1948, Claude Elwood Shannon, in his famous paper entitled "A mathematical theory of communication", wrote: "The fundamental problem of communication is that of reproducing at one point either exactly or approximately a message selected at another point" To solve the problem, he created a new branch of applied mathematics, now known as Information and Coding Theory. This course presents the mains results of the theory as they stand 60 years later. In this course, we restrict ourselves primarily to source and channel coding issues. The fundamentals of coding theory are presented, culminating with Shannon's theorems. More practical aspects of source and/or channel coding are studied in other lectures. This course is devoted to students willing to understand the fundamentals problems arising in both fields, and be able to refer to asymptotic theoretically attainable bounds when designing coded systems in applications. Students are expected to devote the same amount of time (20TH) to personal work.
Level: Ingénieur 3ème année
Level: Ingénieur 2ème année
Course: Ingénieur
Duration of the course: 30h00
format text/html
identifier ENST_COMMDI225
language en
publisher Institut Télécom
rights http://formation.enst.fr/licences/prive.html
source  http://savoirspartages.institut-telecom.fr/z_savoirs_partages_fiche.php?id=58&lg=en
title Information and Communication Theory
type Collection