• DocumentCode
    1237399
  • Title

    Deconvolutive Short-Time Fourier Transform Spectrogram

  • Author

    Lu, Wen-kai ; Zhang, Qiang

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing
  • Volume
    16
  • Issue
    7
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    576
  • Lastpage
    579
  • Abstract
    The short-time Fourier transform (STFT) spectrogram, which is the squared modulus of the STFT, is a smoothed version of the Wigner-Ville distribution (WVD). The STFT spectrogram is 2-D convolution of the the signal WVD and the window function WVD. In this letter, we propose a deconvolutive short-time Fourier transform (DSTFT) spectrogram method, which improves the time-frequency resolution and reduces the cross-terms simultaneously by applying a 2-D deconvolution operation on the STFT spectrogram. Compared to the STFT spectrogram, the spectrogram obtained by the proposed method shows a clear improvement in the time-frequency resolution. Computer simulations are provided to illustrate the good performance of the proposed method, compared with some traditional time-frequency representation (TFR) methods.
  • Keywords
    Fourier transform spectrometers; Wigner distribution; convolution; deconvolution; signal representation; signal resolution; time-frequency analysis; 2D convolution; 2D deconvolution operation; Wigner-Ville distribution; deconvolutive spectrogram; short-time Fourier transform spectrogram; squared modulus; time-frequency representation; time-frequency resolution; window function WVD; Deconvolution; short-time Fourier transform; spectrogram;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2009.2020887
  • Filename
    4814507