• DocumentCode
    347941
  • Title

    On filtering short-duration sinusoids, periodic signals and damped sinusoids

  • Author

    Galigekere, R.R. ; Venkatesh, Y.V. ; Holdsworth, D.W.

  • Author_Institution
    Imaging Res. Labs., J.P. Robarts Res. Inst., London, Ont., Canada
  • Volume
    2
  • fYear
    1999
  • fDate
    9-12 May 1999
  • Firstpage
    702
  • Abstract
    Adaptive filtering of damped sinusoids is considered in this paper. Damped sinusoids include sinusoids as a special case. The recently proposed instantaneous matched filter (IMF) approach, its limitation, and a remedy, are discussed. Its recursive implementation that circumvents the limitation is shown to consist of the same equations as those of recursive least squares (RLS) adaptive linear combiner. A procedure that does not require a knowledge of the frequencies and damping factors is discussed. Its modified version leads to the idea of using a projection matrix for orthogonalization, and to the interpretation that an autoregressive RLS scheme is an adaptive null-filter to the class of sinusoidal signals.
  • Keywords
    adaptive filters; filtering theory; least squares approximations; matched filters; recursive filters; signal processing; adaptive filtering; autoregressive RLS scheme; damped sinusoids; instantaneous matched filter; null-filter; orthogonalization; periodic signals; projection matrix; recursive implementation; recursive least squares adaptive linear combiner; short-duration sinusoids; sinusoidal signals; Adaptive filters; Damping; Filtering; Frequency; Laboratories; Least squares approximation; Matched filters; Nonlinear filters; Resonance light scattering; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1999 IEEE Canadian Conference on
  • Conference_Location
    Edmonton, Alberta, Canada
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-5579-2
  • Type

    conf

  • DOI
    10.1109/CCECE.1999.808015
  • Filename
    808015