• DocumentCode
    3382385
  • Title

    On the window selection and the cross terms that exist in the magnitude squared distribution of the short time Fourier transform

  • Author

    Kadambe, Shubha

  • Author_Institution
    Appl. Sci. & Eng. Labs., A.I. duPont Inst., Wilmington, DE, USA
  • fYear
    1992
  • fDate
    7-9 Oct 1992
  • Firstpage
    22
  • Lastpage
    25
  • Abstract
    The short time Fourier transform (STFT), a time-frequency representation, is linear by definition. However, the magnitude squared distribution of the STFT (the spectrogram) which signal processors often use to represent a signal is non-linear by definition. Therefore, in general, there exist cross terms in the spectrogram of a multi-component signal. The existence of these depends on (a) the nature of a multi-component signal, (b) the choice of the STFT analysis window and (c) the window length selection. This paper studies the effect of (i) the choice of the STFT analysis window, and (ii) the nature of signals to be analyzed, on the cross terms, in detail with representative examples
  • Keywords
    fast Fourier transforms; signal processing; time-frequency analysis; cross terms; magnitude squared distribution; multi-component signal; short time Fourier transform; spectrogram; time-frequency representation; window selection; Difference equations; Fourier transforms; Frequency estimation; Geometry; Lapping; Phase modulation; Signal analysis; Signal processing; Spectrogram; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-0508-6
  • Type

    conf

  • DOI
    10.1109/SSAP.1992.246839
  • Filename
    246839