DocumentCode
942064
Title
Rate distortion theory with generalized information measures via convex programming duality
Author
Ben-Tal, Aharon ; Teboulle, Marc
Volume
32
Issue
5
fYear
1986
fDate
9/1/1986 12:00:00 AM
Firstpage
630
Lastpage
641
Abstract
A new generalized average mutual information measure (GAMIM) is introduced in terms of Csiszar 
-divergence, and the associated rate distortion function 
is studied. The main objective is to derive in a unified way a dual representation of , then to use it to generalize classical results (corresponding to 
) in rate distortion theory and extend results associated with other concepts of GAMIM. Our development uses the methodology of convex programming duality extensively.
-divergence, and the associated rate distortion function is studied. The main objective is to derive in a unified way a dual representation of , then to use it to generalize classical results (corresponding to ) in rate distortion theory and extend results associated with other concepts of GAMIM. Our development uses the methodology of convex programming duality extensively.Keywords
Mathematical programming; Source coding; Channel capacity; Distortion measurement; Entropy; Functional programming; Helium; Industrial engineering; Mutual information; Rate distortion theory; Rate-distortion; Source coding;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1986.1057223
Filename
1057223
Link To Document