• DocumentCode
    3036188
  • Title

    Magnitude-phase relationships for short-time Fourier transforms based on Gaussian analysis windows

  • Author

    Portnoff, Michael R.

  • Author_Institution
    Massachusetts Institute of Technology, Cambridge, Massachusetts
  • Volume
    4
  • fYear
    1979
  • fDate
    28946
  • Firstpage
    186
  • Lastpage
    189
  • Abstract
    The short-time Fourier transform (STFT) formally represents the output of a filter-bank spectrum analyzer as a two-dimensional function of time and frequency. For the case of a Gaussian analysis window, the log magnitude and phase of the STFT are related by a coupled pair of first order linear partial differential equations. Moreover, the log magnitude and phase independently satisfy second order linear partial differential equations. Because not all functions of time and frequency are STFT´s, the second order equations provide a test for determining whether a particular magnitude or phase function corresponds to the magnitude or phase of a STFT obtained with a Gaussian analysis window. Furthermore, given a valid magnitude (or phase) function, the pair of first order equations can be integrated to determine the corresponding phase (or magnitude) function.
  • Keywords
    Differential equations; Fourier transforms; Frequency; Laboratories; Process design; Signal analysis; Signal design; Signal processing; Spectral analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1979.1170695
  • Filename
    1170695