• DocumentCode
    697953
  • Title

    Quantitative evaluation of concentrated time-frequency distributions

  • Author

    Shafi, Imran ; Ahmad, Jamil ; Shah, Syed Ismail ; Kashif, Faisal M.

  • Author_Institution
    Centre for Adv. Studies in Eng., Islamabad, Pakistan
  • fYear
    2009
  • fDate
    24-28 Aug. 2009
  • Firstpage
    1176
  • Lastpage
    1180
  • Abstract
    This work objectively evaluates and presents a quantitative analysis of concentrated time-frequency distributions (TFDs) obtained through Network of Expert Neural Networks (NENNs). The objective methods include the ratio of norms based measures, Shannon & Rényi entropy measures, normalized Rényi entropy measure and Jubisa measure. The introduction of these measures allows quantifying the quality of TFDs instead of relying solely on visual inspection of their plots. Performance comparison with various other quadratic TFDs is provided too.
  • Keywords
    entropy; neural nets; signal processing; time-frequency analysis; Jubisa measure; NENN; Rényi entropy measures; Shannon entropy measures; concentrated TFD; concentrated time-frequency distributions; network of expert neural networks; normalized Rényi entropy measure; ratio of norm based measures; Abstracts; Magnetohydrodynamics; Speech; Uncertainty; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2009 17th European
  • Conference_Location
    Glasgow
  • Print_ISBN
    978-161-7388-76-7
  • Type

    conf

  • Filename
    7077525
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=697953