DocumentCode :
2608063
Title :
Entropy, some new lower bounds
Author :
Topsoe, Flemming
Author_Institution :
Dept. of Math., Copenhagen Univ., Denmark
fYear :
2002
fDate :
20-25 Oct. 2002
Firstpage :
196
Abstract :
Let M+1(N) be the set of probability distributions over N and denote by Uk a generic uniform distribution over a k-element set. By H and IC we denote, respectively, entropy and index of coincidence, i.e. H(P) = -Σpk ln pk and IC(P) = Σpk2. The motivation to develop lower bounds lies in applications to certain problems of exact prediction in Bernoulli models.
Keywords :
entropy; information theory; probability; Bernoulli models; entropy; generic uniform distribution; index of coincidence; lower bounds; probability distributions; Character recognition; Councils; Entropy; Error correction; Ink; Mathematics; Pattern recognition; Predictive models; Probability distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Workshop, 2002. Proceedings of the 2002 IEEE
Print_ISBN :
0-7803-7629-3
Type :
conf
DOI :
10.1109/ITW.2002.1115452
Filename :
1115452
Link To Document :
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