• DocumentCode
    1439001
  • Title

    On Codecell Convexity of Optimal Multiresolution Scalar Quantizers for Continuous Sources

  • Author

    Antos, András

  • Author_Institution
    Comput. & Autom. Res. Inst., Budapest, Hungary
  • Volume
    58
  • Issue
    2
  • fYear
    2012
  • Firstpage
    1147
  • Lastpage
    1157
  • Abstract
    It has been shown by earlier results that for fixed rate multiresolution scalar quantizers and for mean squared error distortion measure, codecell convexity precludes optimality for certain discrete sources. However it was unknown whether the same phenomenon can occur for any continuous source. In this paper, examples of continuous sources (even with bounded continuous densities) are presented for which optimal fixed rate multiresolution scalar quantizers cannot have only convex codecells, proving that codecell convexity precludes optimality also for such regular sources.
  • Keywords
    mean square error methods; quantisation (signal); codecell convexity; continuous sources; fixed rate multiresolution scalar quantizers; mean squared error distortion measures; optimal multiresolution scalar quantizers; Algorithm design and analysis; Approximation methods; Atomic measurements; Entropy; Probability density function; Source coding; Technological innovation; Clustering methods; codecell convexity; continuous density function; mean squared error methods; multiresolution; optimization methods; quantization; rate distortion theory; source coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2173708
  • Filename
    6145472