• DocumentCode
    3191779
  • Title

    Polynomial matrix whitening and application to the multichannel blind deconvolution problem

  • Author

    Lambert, Russell H. ; Nikias, Chrysostomos L.

  • Author_Institution
    Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    3
  • fYear
    1995
  • fDate
    35011
  • Firstpage
    988
  • Abstract
    A method for whitening a polynomial matrix is described, including the calculation of the eigenvalue polynomials and eigenvector polynomials of an FIR polynomial matrix. The multichannel blind deconvolution problem is briefly described and FIR polynomial matrix whitening is applied to the problem. Benefits of the whitening technique are demonstrated through simulation. Data prewhitening or the use of an exact least squares adaptation is necessary in any problem of moderate complexity. The group theoretic aspects of FIR polynomial matrix algebra are discussed
  • Keywords
    FIR filters; deconvolution; eigenvalues and eigenfunctions; filtering theory; group theory; least squares approximations; polynomial matrices; FIR polynomial matrix; data prewhitening; eigenvalue polynomials; eigenvector polynomials; group theoretic aspects; least squares adaptation; matrix algebra; multichannel blind deconvolution problem; polynomial matrix whitening; simulation; Deconvolution; Eigenvalues and eigenfunctions; Equalizers; Finite impulse response filter; Least squares approximation; Linear systems; Matrices; Nonlinear filters; Polynomials; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 1995. MILCOM '95, Conference Record, IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-2489-7
  • Type

    conf

  • DOI
    10.1109/MILCOM.1995.483616
  • Filename
    483616