• DocumentCode
    2750664
  • Title

    Finite precision analysis of the conventional QR decomposition RLS algorithm

  • Author

    Siqueira, M.G. ; Diniz, P.S.R.

  • Author_Institution
    COPPE, Univ. Federal do Rio de Janeiro, Brazil
  • Volume
    2
  • fYear
    1994
  • fDate
    3-5 Aug 1994
  • Firstpage
    990
  • Abstract
    This paper presents relations for predicting the mean squared values in the deviations of the outputs in the conventional QRD-RLS algorithm due to quantization effects. A set of formulas are presented, along with a procedure to employ them to calculate the expected value of the squared norm of the tap deviation and the mean squared value of the error signal deviation. Simulation results are presented to show the accuracy of the obtained results
  • Keywords
    adaptive filters; filtering theory; least squares approximations; QR decomposition RLS algorithm; filter design; finite precision analysis; mean squared values; quantization effects; Adaptive filters; Algorithm design and analysis; Arithmetic; Difference equations; Error analysis; Filtering algorithms; Least squares methods; Quantization; Resonance light scattering; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
  • Conference_Location
    Lafayette, LA
  • Print_ISBN
    0-7803-2428-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1994.518978
  • Filename
    518978