• DocumentCode
    3337510
  • Title

    Parameter selection for optimising time-frequency distributions and measurements of time-frequency characteristics of non-stationary signals

  • Author

    Sicic, V. ; Boashash, Boualem

  • Author_Institution
    Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia
  • Volume
    6
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3557
  • Abstract
    Selecting a time-frequency distribution (TFD) which represents a signal in an optimal way is commonly done by visually comparing plots of different TFD. This paper presents a procedure that allows the analyst to perform the same task in an automatic way. Using the resolution performance measure for TFD, the procedure optimises all distributions considered and selects the one which results into best concentration of signal components around their instantaneous frequency laws, as well as best suppression of the interference terms in the time-frequency plane. To do this requires us to define a methodology to measure the time-frequency characteristics of a signal from its optimal TFD. An algorithm which implements this methodology is described and results are presented
  • Keywords
    optimisation; parameter estimation; probability; signal representation; signal resolution; time-frequency analysis; instantaneous frequency laws; interference suppression; non-stationary signals; optimisation; parameter selection; resolution performance measure; signal components; signal representation; time-frequency distributions; Australia; Frequency measurement; Interference suppression; Performance analysis; Signal analysis; Signal processing; Signal resolution; Spectrogram; Time frequency analysis; Whales;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940610
  • Filename
    940610