• DocumentCode
    3199895
  • Title

    Decorrelated algorithms for faster adaptation

  • Author

    Liu, Ting ; Gazor, Saeed

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Queen´´s Univ., Canada
  • Volume
    1
  • fYear
    2002
  • fDate
    26-30 Aug. 2002
  • Firstpage
    301
  • Abstract
    A new decorrelation filter is introduced on both input and desired signal to bring down:the correlation of input signal and additive noise. The new adaptive algorithms are derived and discussed in different cases. The introduced auxiliary adaptive whitening filter reduces the eigenvalue spread of the input autocorrelation matrix, thus accelerate the adaptation of the main filter. At the same time, the auxiliary filter reduces the effect of colored noise power spectra and hence reduces the misadjustment of the algorithm. The improvement obtained is considerable in most cases at the expense of a minor computational complexity.
  • Keywords
    adaptive filters; computational complexity; convergence of numerical methods; decorrelation; eigenvalues and eigenfunctions; matrix algebra; random noise; adaptive filter; adaptive whitening filter; additive noise; autocorrelation matrix; auxiliary filter; colored noise power spectra; computational complexity; convergence; decorrelation filter; eigenvalue spread; Acceleration; Adaptive algorithm; Adaptive filters; Additive noise; Colored noise; Convergence; Eigenvalues and eigenfunctions; Least squares approximation; Resonance light scattering; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2002 6th International Conference on
  • Print_ISBN
    0-7803-7488-6
  • Type

    conf

  • DOI
    10.1109/ICOSP.2002.1181050
  • Filename
    1181050