• DocumentCode
    1143466
  • Title

    Interpolated smoothed pseudo Wigner-Ville distribution for accurate spectrum analysis

  • Author

    Andria, Gregorio ; Savino, Mario

  • Author_Institution
    Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
  • Volume
    45
  • Issue
    4
  • fYear
    1996
  • fDate
    8/1/1996 12:00:00 AM
  • Firstpage
    818
  • Lastpage
    823
  • Abstract
    This paper deals with a new application of the time-domain windowed (smoothed version) of the pseudo Wigner-Ville distribution (PWD), that can be easily implemented in a dedicate digital instrument to be used as a spectral analyzer for time-frequency analysis of nonstationary signals. New computational algorithms are studied and developed to attain high time-frequency resolution, accuracy, flexibility and computational efficiency. Particularly, to reduce the negative effects due to leakage during frequency changes, a new interpolation formula is derived by using the windowing theory. The suggested technique allows the users to perform optimal evaluations of the instantaneous amplitudes and frequencies of analyzed signals
  • Keywords
    Wigner distribution; interpolation; signal processing; spectral analysis; statistical analysis; accuracy; computational algorithms; computational efficiency; digital instrument; flexibility; frequency changes; instantaneous amplitudes; instantaneous frequencies; interpolation; leakage; negative effects; nonstationary signals; optimal evaluations; signal analysis; smoothed pseudo Wigner-Ville distribution; spectral analyzer; spectrum analysis; time-domain windowed distribution; time-frequency analysis; time-frequency resolution; windowing theory; Computational efficiency; Instruments; Interpolation; Performance analysis; Performance evaluation; Signal analysis; Signal resolution; Spectral analysis; Time domain analysis; Time frequency analysis;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.517002
  • Filename
    517002