DocumentCode
778432
Title
Piecewise linear conditional information inequality
Author
Matus, Frank
Author_Institution
Inst. of Inf. Theor. & Autom., Acad. of Sci. of the Czech Republic, Prague
Volume
52
Issue
1
fYear
2006
Firstpage
236
Lastpage
238
Abstract
A new information inequality of non-Shannon type is proved for three discrete random variables under conditional independence constraints, using the framework of entropy functions and polymatroids. Tightness of the inequality is described via quasi-groups
Keywords
discrete systems; entropy; piecewise linear techniques; Shannon entropy function; conditional independence constraint; discrete random variable; piecewise linear information inequality; polymatroid; Automation; Cramer-Rao bounds; Entropy; Information theory; Piecewise linear techniques; Random variables; Strips; Vectors; Conditional independence; Shannon entropy; entropy function; information inequality; polymatroid; quasi-group;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2005.860438
Filename
1564438
Link To Document