• DocumentCode
    1400060
  • Title

    A new fast QR algorithm based on a priori errors

  • Author

    Apolinário, José Antonio, Jr. ; Diniz, Paulo S R

  • Author_Institution
    Dept. of Electr. Eng., Inst. Militar de Engenharia, Rio de Janeiro, Brazil
  • Volume
    4
  • Issue
    11
  • fYear
    1997
  • Firstpage
    307
  • Lastpage
    309
  • Abstract
    This letter presents a new fast QR algorithm based on Givens rotations using a priori errors. The principles behind the triangularization of the weighted input data matrix via QR decomposition and the type of errors used in the updating process are exploited in order to investigate the relationships among different fast algorithms of the QR family. These algorithms are classified according to a general framework and a detailed description of the new algorithm is presented.
  • Keywords
    adaptive filters; error analysis; filtering theory; least squares approximations; matrix decomposition; prediction theory; Givens rotation; QR decomposition; RLS algorithms; a priori errors; adaptive filtering; fast QR algorithm; recursive least squares algorithms; triangularization principles; updating process; weighted input data matrix; Adaptive filters; Algorithm design and analysis; Equations; Filtering algorithms; Least squares methods; Matrix decomposition; Partitioning algorithms; Resonance light scattering; Robustness; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.641395
  • Filename
    641395