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COM-404: Information theory and coding

Résumé

The mathematical principles of communication that govern the compression and transmission of data and the design of efficient methods of doing so.

Séances de cours

Enseignant·e

Emre Telatar

I. Emre Telatar received the B.Sc. degree in electrical engineering from the Middle East Technical University, Ankara, Turkey, in 1986. He received the S.M. and Ph.D. degrees in electrical engineering and computer science from the Massachusetts Institute of Technology, Cambridge, in 1988 and 1992 respectively. In 1992, he joined the Communications Analysis Research Department at AT&T Bell Laboratories (later Lucent Technologies), Murray Hill, NJ. He has been at the EPFL since 2000. Emre Telatar was the recipient of the IEEE Information Theory Society Paper Award in 2001. He was a program co-chair for the IEEE International Symposium on Information Theory in 2002, and associate editor for Shannon Theory for the IEEE Information Theory Transactions from 2001 to 2004. He was awarded the EPFL Agepoly teaching prize in 2005. Emre Telatar's research interests are in communication and information theories.

Source officielle

https://edu.epfl.ch/coursebook/fr/information-theory-and-coding-COM-404

Page Moodle

http://go.epfl.ch/COM-404

À propos de ce résultat

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Résumé

The mathematical principles of communication that govern the compression and transmission of data and the design of efficient methods of doing so.

Séances de cours

Enseignant·e

Emre Telatar

Source officielle

https://edu.epfl.ch/coursebook/fr/information-theory-and-coding-COM-404

Page Moodle

http://go.epfl.ch/COM-404

À propos de ce résultat

Séances de ce cours (27)

Théorie de l'information: codage de source et codage de canal

Couvre les bases de la théorie de l'information, en se concentrant sur le codage source et le codage de canal.

Compression de données : codage de source

Couvre les techniques de compression de données, y compris le codage source et les concepts de décodabilité uniques.

Théorie de l'information: Capacité du canal et fonctions convexes

Explore la capacité des canaux et les fonctions convexes dans la théorie de l'information, en soulignant l'importance de la convexité.

Channel Coding: Théorie et codage

Couvre la théorie de la formation et le codage, en se concentrant sur la capacité des canaux et les fonctions concaves.

Théorème de codage: preuve et propriétés

Couvre la preuve et les propriétés du théorème de codage, en se concentrant sur la maximisation des propriétés de lx et le taux réalisable.

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