• DocumentCode
    1497909
  • Title

    Flexible estimation of probability and cumulative density functions

  • Author

    Scarpiniti, Michele ; Parisi, Raffaele ; Uncini, Aurelio

  • Author_Institution
    INFOCOM Dept., Sapienza Univ. of Rome, Rome, Italy
  • Volume
    45
  • Issue
    21
  • fYear
    2009
  • Firstpage
    1095
  • Lastpage
    1096
  • Abstract
    A novel, simple and effective algorithm for the estimation of the probability density function and cumulative density function is presented. The algorithm is based on an information maximisation approach. The nonlinear function involved in the algorithm is adaptively modified during learning and is implemented by using a spline function.
  • Keywords
    blind source separation; deconvolution; nonlinear functions; splines (mathematics); cumulative density functions; flexible estimation; information maximisation approach; nonlinear function; probability density functions; spline function;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2009.1274
  • Filename
    5284470
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1497909