• 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