• DocumentCode
    1749092
  • Title

    Frequency domain multichannel blind deconvolution using adaptive spline functions

  • Author

    Lupini, A. ; Piazza, Francesco ; Uncini, Aurelio

  • Author_Institution
    Dipt. INFOCOM, Rome Univ.
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    464
  • Abstract
    An architecture for multichannel blind deconvolution in the frequency domain is presented. It is based on a complex-domain non-linear function, built with two spline functions, one for the real and one for the imaginary part, whose control points are adaptively changed using gradient-based techniques. B-spline functions are used since they allow us to impose only simple constraints on the control parameters in order to ensure the needed monotonously increasing characteristic. In the paper the adaptation rules for both the un-mixing matrix and the spline control points are also derived. Some experimental results that demonstrate the effectiveness of the proposed method are presented
  • Keywords
    deconvolution; gradient methods; information theory; matrix algebra; splines (mathematics); B-spline functions; adaptation rules; adaptive spline functions; complex-domain nonlinear function; frequency domain multichannel blind deconvolution; gradient-based techniques; spline control points; un-mixing matrix; Blind source separation; Deconvolution; Density functional theory; Entropy; Finite impulse response filter; Fourier transforms; Frequency domain analysis; Neural networks; Shape; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7044-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2001.939064
  • Filename
    939064