• DocumentCode
    1299615
  • Title

    Modelling signals of arbitrary kurtosis for testing BSS methods

  • Author

    Zarzoso, V. ; Nandi, A.K.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
  • Volume
    34
  • Issue
    1
  • fYear
    1998
  • fDate
    1/8/1998 12:00:00 AM
  • Firstpage
    29
  • Lastpage
    30
  • Abstract
    It is shown how a very simple distribution, the Bernoulli random variable, exhibits all possible normalised kurtosis values when varying the probability of its two events. This result means that signals of any normalised kurtosis may be modelled by this distribution, which is of relevance within the framework of blind source separation based on fourth-order cumulants
  • Keywords
    higher order statistics; probability; signal restoration; Bernoulli random variable; arbitrary kurtosis signals; blind source separation; fourth-order cumulants; probability; signal modelling;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19980050
  • Filename
    654498
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1299615