• DocumentCode
    1180792
  • Title

    Decomposition of the Wigner-Ville distribution and time-frequency distribution series

  • Author

    Qian, Shie ; Chen, Dapang

  • Author_Institution
    DSP Group, Nat. Instrum. Corp., Austin, TX, USA
  • Volume
    42
  • Issue
    10
  • fYear
    1994
  • fDate
    10/1/1994 12:00:00 AM
  • Firstpage
    2836
  • Lastpage
    2842
  • Abstract
    Using the orthogonal-like Gabor expansion, the authors decompose the Wigner-Ville distribution (WVD) to a linear combination of localized and symmetric functions WVDh, h´ (t, w), the WVD of the Gabor elementary functions, hm, n(t) and hm´n´(t). Since the influence of the WVDh, h´(t, w) to the useful properties is inversely proportional to the distance between hm, n (t) and hm´, n´t, the WVDh, h´(t, w) are further grouped as a series of the function Pd(t, w). The authors name the resulting representation the time-frequency distribution series (TPDS) (also known as the Gabor spectrogram in industry). The TFDSD consists of up to a Dth order Pd(t, w). While TFDS0(t, w)=P0(t, w) is similar to the spectrogram, TFDS(t, w) converges to the WVDs (t, w). Numerical simulations demonstrate that adjusting the order D of the TFDS, one could effectively balance the cross-term interference and the useful properties
  • Keywords
    series (mathematics); signal processing; statistical analysis; time-frequency analysis; Gabor elementary functions; Gabor spectrogram; Wigner-Ville distribution; cross-term interference; linear combination; localized functions; orthogonal-like Gabor expansion; representation; series; symmetric functions; time-frequency distribution series; Digital signal processing; Fourier transforms; Frequency shift keying; Interference; Numerical simulation; Phase shift keying; Shape; Signal processing; Spectrogram; Time frequency analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.324750
  • Filename
    324750