DocumentCode :
2948063
Title :
Non-Gaussian asymptotic minimizers in entropic uncertainty principles and the dimensional effect
Author :
Zozor, Steeve ; Vignat, Christophe
Author_Institution :
Lab. des Images et des Signaux, St. Martin d´´Heres
fYear :
2006
fDate :
9-14 July 2006
Firstpage :
2085
Lastpage :
2089
Abstract :
In this paper we revisit the Bialynicki-Birula & Mycielski uncertainty principle (I. Bialynicki-Birula and J. Mycielski, 1975) and the associated cases of equality. This Shannon entropic version of the well-known Heisenberg inequality can be used when dealing with variables that admit no variance. In this paper, we extend this uncertainty principle to Renyi entropies. We recall that in both cases, equality occurs only for Gaussian random variables. However, we show that in the particular n-dimensional Laplace case, the bound is asymptotically attained as n grows. We also show numerically that this effect exists for Cauchy variables whatever the Renyi entropy considered, extending the results of S. Abe and A.K. Rajagopal (2001), These two cases are interesting since they show that this asymptotic behavior cannot be considered as a "Gaussianization" of the variable when the dimension increases, so that the effect is rather "dimensional"
Keywords :
Gaussian processes; entropy; Gaussian random variables; Heisenberg inequality; Renyi entropies; Shannon entropy; entropic uncertainty principles; n-dimensional Laplace; nonGaussian asymptotic minimizers; Entropy; Fourier transforms; Gaussian processes; Linear matrix inequalities; Probability density function; Random variables; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
Type :
conf
DOI :
10.1109/ISIT.2006.261918
Filename :
4036336
Link To Document :
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