• DocumentCode
    1116566
  • Title

    Comments on "Covariance shaping least-squares estimation"

  • Author

    Zhou, Tong

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • Volume
    52
  • Issue
    10
  • fYear
    2004
  • Firstpage
    2938
  • Lastpage
    2941
  • Abstract
    A routine linear algebra-based derivation is provided for the optimal estimate in a parametric estimation problem, which is a little more general than that discussed in the above paper. Compared with the procedure adopted by Eldar and Oppenheim, it is more direct and simple and, therefore, easier to be understood. Moreover, the optimal estimate is expressed in a more computationally attractive form, and the results of Eldar and Oppenheim can be regarded as a special case.
  • Keywords
    covariance analysis; least squares approximations; linear algebra; parameter estimation; covariance shaping least-square estimation; parametric estimation; routine linear algebra-based derivation; Adaptive filters; Automation; Covariance matrix; Linear algebra; Linear matrix inequalities; Null space; Numerical simulation; Symmetric matrices;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2004.834262
  • Filename
    1337260