• DocumentCode
    3507087
  • Title

    Characterizing compressibility with Lorenz curves

  • Author

    Weidmann, Claudio

  • Author_Institution
    ETIS, Univ. Cergy-Pontoise, Cergy-Pontoise, France
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    2228
  • Lastpage
    2232
  • Abstract
    This paper revisits earlier work on rate distortion behavior of sparse sources, namely it highlights the fact that a graphical sparsity characterization proposed in [1] is a Lorenz curve, a tool for summarizing income inequality that has been used by economists for over a century. The Lorenz curve associated to a memoryless source can be used to obtain upper bounds on the distortion rate function, thus characterizing source compressibility. It is shown that an order relation on Lorenz curves induces an analogous relation on distortion rate upper bounds. This can be used to characterize the compressibility of certain parametric families of source distributions, for which an order on the parameters induces an order on Lorenz curves.
  • Keywords
    Lorenz number; data compression; sparse matrices; Lorenz curves; compressibility; distortion rate function; graphical sparsity characterization; memoryless source; rate distortion behavior; sparse sources; Distortion measurement; Entropy; Random variables; Rate distortion theory; Rate-distortion; Source coding; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
  • Conference_Location
    St. Petersburg
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4577-0596-0
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2011.6033956
  • Filename
    6033956