• DocumentCode
    3099942
  • Title

    Allpass vs. unit-norm constraints in contrast-based blind deconvolution

  • Author

    Douglas, Scott C. ; Kung, S.Y.

  • Author_Institution
    Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
  • fYear
    1999
  • fDate
    36373
  • Firstpage
    273
  • Lastpage
    282
  • Abstract
    Many contrast-based independent component analysis (ICA) algorithms can be directly applied to single-channel blind deconvolution tasks without modification. For prewhitened signals, however, an allpass constraint on the filter impulse response is more appropriate than a unit-norm constraint. We show how a finite-impulse-response filter can be adapted to maximize or minimize an arbitrary contrast function while approximately maintaining an allpass characteristic in a self-stabilizing fashion. Both online time domain and block-based frequency domain algorithms are described. Simulations verify the superior performance behaviors of the new algorithms over those of standard ICA algorithms in prewhitened blind deconvolution tasks
  • Keywords
    FIR filters; all-pass filters; deconvolution; matrix algebra; minimisation; allpass constraints; block-based frequency domain algorithms; contrast-based blind deconvolution; filter impulse response; finite-impulse-response filter; online time domain algorithms; prewhitened signals; unit-norm constraints; Channel estimation; Convolution; Deconvolution; Delay estimation; Filtering; Finite impulse response filter; Frequency domain analysis; Independent component analysis; Signal processing; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop.
  • Conference_Location
    Madison, WI
  • Print_ISBN
    0-7803-5673-X
  • Type

    conf

  • DOI
    10.1109/NNSP.1999.788146
  • Filename
    788146