Rate Distortion Theory with Generalized Information Measures via Convex Programming Duality

Aharon Ben-Tal, Marc Teboulle

Research output: Contribution to journalArticlepeer-review

Abstract

A new generalized average mutual information measure (GAMIM) is introduced in terms of Csiszar ϕ-divergence, and the associated rate distortion function Rϕ is studied. The main objective is to derive in a unified way a dual representation of Rϕ then to use it to generalize classical results (corresponding to ϕ(t) = t log t) in rate distortion theory and extend results associated with other concepts of GAMIM. Our development uses the methodology of convex programming duality extensively.

Original languageEnglish
Pages (from-to)630-641
Number of pages12
JournalIEEE Transactions on Information Theory
Volume32
Issue number5
DOIs
StatePublished - Sep 1986
Externally publishedYes

Fingerprint

Dive into the research topics of 'Rate Distortion Theory with Generalized Information Measures via Convex Programming Duality'. Together they form a unique fingerprint.

Cite this