DocumentCode :
2551727
Title :
Evaluating Information Measures for the Gamma-order Multivariate Gaussian: Entropy Type Information Measures
Author :
Kitsos, Christos P. ; Toulias, Thomas L.
Author_Institution :
Dept. of Math., Technol. Educ. Inst. of Athens, Athens, Greece
fYear :
2010
fDate :
10-12 Sept. 2010
Firstpage :
153
Lastpage :
157
Abstract :
The target of this paper is to study the introduced generalized entropy type measures of information and the γ-order generalized Gaussian (or hyper multivariate normal distribution), relative to it. This three parameter distribution plays an important role to the new generalized information measure and extends the well known normal distribution. For the γ-order generalized Gaussian the Kullback-Leibler information is evaluated, which is reduced to the well known for the normal distribution, when the generalized Gaussian is reduced to typical Gaussian distribution.
Keywords :
Gaussian distribution; Kullback-Leibler information; entropy type information measurement; information measurement evaluation; the γ-order multivariate Gaussian; Cramer-Rao bounds; Density functional theory; Entropy; Gaussian distribution; Information theory; Power measurement; Entropy power; Information measures; Kullback-Leibler information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics (PCI), 2010 14th Panhellenic Conference on
Conference_Location :
Tripoli
Print_ISBN :
978-1-4244-7838-5
Type :
conf
DOI :
10.1109/PCI.2010.10
Filename :
5600449
Link To Document :
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