• DocumentCode
    1706464
  • Title

    The time-dependent weighted average instantaneous frequency

  • Author

    Loughlin, Patrick J.

  • Author_Institution
    Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
  • fYear
    1998
  • Firstpage
    97
  • Lastpage
    100
  • Abstract
    It is often claimed that instantaneous frequency, taken as the derivative of the phase of the signal, is `appropriate´ or `meaningful´ only for monocomponent signals, and that for multicomponent signals a weighted average of the individual instantaneous frequencies should be used. That is fine as a definition, but generally difficult to do in practice because there is no systematic and general method for determining the components of a signal (i.e., the individual amplitudes and phases), which is itself a challenging problem. We show that spectrograms can give this exact result for many signals, obtained via the conditional mean frequency of the spectrogram, and give the conditions on the window for that to be the case. Using this approach, one does not need to know the individual instantaneous amplitudes and phases of the components to obtain the weighted average instantaneous frequency of the signal
  • Keywords
    signal processing; spectral analysis; statistical analysis; time-frequency analysis; amplitudes; bandwidth; conditional mean frequency; monocomponent signals; nonstationary signals; signal phase; spectral characteristics; spectrograms; time-dependent weighted average instantaneous frequency; time-frequency distribution; time-varying signals; Acoustic applications; Acoustical engineering; Bandwidth; Biomedical engineering; Frequency; Geophysics; Hydrogen; Signal analysis; Spectrogram; Speech analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    0-7803-5073-1
  • Type

    conf

  • DOI
    10.1109/TFSA.1998.721370
  • Filename
    721370