• DocumentCode
    3103266
  • Title

    Robust hyperbolic square root updating in RLS estimation

  • Author

    Bojanczyk, Adam W. ; Steinhardt, Allan O. ; So, Sing H.

  • Author_Institution
    Dept. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    1988
  • fDate
    3-5 Aug 1988
  • Firstpage
    301
  • Lastpage
    306
  • Abstract
    A stabilized version of the hyperbolic Householder transform method for the multiple vector downdating of Cholesky factors has been developed. This approach offers roughly a twofold savings over schemes based on the multiple application of single-vector downdating schemes, and it is just as stable. The proposed approach is found to exhibit numerical behavior superior to the standard scheme in simulations. It is concluded that there is no computational penalty incurred with stabilized hyperbolic Householder transforms; they enjoy an operation count identical to their conventional counterparts
  • Keywords
    least squares approximations; signal processing; transforms; Cholesky factors; RLS estimation; hyperbolic Householder transform method; hyperbolic square root updating; multiple vector downdating; signal processing; simulations; stabilised transforms; Covariance matrix; Equations; Filtering; Least squares approximation; Least squares methods; Resonance light scattering; Robustness; Signal processing algorithms; Transforms; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spectrum Estimation and Modeling, 1988., Fourth Annual ASSP Workshop on
  • Conference_Location
    Minneapolis, MN
  • Type

    conf

  • DOI
    10.1109/SPECT.1988.206210
  • Filename
    206210