• DocumentCode
    3510991
  • Title

    The Wigner-Ville trispectrum: definition and application

  • Author

    Boashash, Boualem ; Ristich, Branko

  • Author_Institution
    Signal Processing Res. Centre, Queensland Univ. of Technol.., Brisbane, Qld., Australia
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    260
  • Lastpage
    264
  • Abstract
    The Wigner-Ville trispectrum (WVT) is defined as a member of a class of time-varying higher-order spectra based on the polynomial Wigner-Ville distributions. It is shown that the WVT is a very efficient time-frequency analysis method for the analysis of FM signals affected by multiplicative noise, and outperforms the Wigner-Ville spectrum (WVS), and therefore any other method based on Cohen´s class of bilinear time-frequency spectra. The authors further consider the instantaneous frequency estimator based on the peak extraction of the WVT. They also develop the statistical properties of such an estimator, for signals affected by both multiplicative and additive Gaussian noise.
  • Keywords
    random noise; spectral analysis; statistical analysis; time-frequency analysis; FM signals; Wigner-Ville trispectrum; additive Gaussian noise; instantaneous frequency estimator; multiplicative noise; peak extraction; polynomial Wigner-Ville distributions; statistical properties; time-frequency analysis method; time-varying higher-order spectra; Additive noise; Amplitude modulation; Frequency estimation; Frequency modulation; Higher order statistics; Polynomials; Signal analysis; Signal processing; Spectral analysis; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Higher-Order Statistics, 1993., IEEE Signal Processing Workshop on
  • Conference_Location
    South Lake Tahoe, CA, USA
  • Print_ISBN
    0-7803-1238-4
  • Type

    conf

  • DOI
    10.1109/HOST.1993.264555
  • Filename
    264555