DocumentCode
526156
Title
Entropy Inequalities for the generalized Gaussian
Author
Kitsos, Christos P. ; Toulias, Thomas L.
Author_Institution
Dept. of Math., Technol. Educ. Inst. of Athens, Athens, Greece
fYear
2010
fDate
21-24 June 2010
Firstpage
551
Lastpage
556
Abstract
The target of this paper is to discuss the existent Poincaré and Logarithm Sobolev Inequalities (PI and LSI resp.) for the Gaussian (normal) distribution which is essential in theoretical Statistics and plays an important role in Information Theory and Statistics. The adopted Mathematical backround is usually simplified in practical applications. The entropy, energy and variance are related through some order due to PI and LSI. The extended multivariate normal, being a generalized Gaussian, also obeys to LSI.
Keywords
Gaussian processes; Poincare mapping; Poincaré existent; entropy inequalities; generalized Gaussian; logarithm Sobolev inequalities; mathematical backround; theoretical statistics; Channel capacity; Covariance matrix; Entropy; Gaussian distribution; Large scale integration; Space technology; Entropy power; Information measures; Logarithmic Sobolev Inequalities; Poincaré Inequalities;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology Interfaces (ITI), 2010 32nd International Conference on
Conference_Location
Cavtat/Dubrovnik
ISSN
1330-1012
Print_ISBN
978-1-4244-5732-8
Type
conf
Filename
5546482
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