• DocumentCode
    3350940
  • Title

    Subspace Sequence Estimation

  • Author

    Tinston, Michael ; Ephraim, Yariv

  • Author_Institution
    George Mason Univ., Fairfax
  • fYear
    2007
  • fDate
    14-16 March 2007
  • Firstpage
    57
  • Lastpage
    62
  • Abstract
    Recent work in the theory of subspace filtering and estimation, for example the Multistage Wiener Filter (MWF) of Goldstein et. al., has focused primarily on the case of finite dimension filtering. While this is the more practical case, as it can be implemented in a general purpose computer, it has left open the theoretical question of the behavior of subspace filters in the infinite dimension case. In this work we begin develop a causal infinite dimensional filter that operates in a subspace similar to that of the MWF and whose performance approaches that of the causal Wiener Filter using this subspace.
  • Keywords
    Wiener filters; estimation theory; sequences; infinite dimension filter; multistage Wiener filter; subspace filtering; subspace sequence estimation; Equations; Filtering theory; Least squares approximation; Mean square error methods; Nonlinear filters; Random processes; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems, 2007. CISS '07. 41st Annual Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    1-4244-1063-3
  • Electronic_ISBN
    1-4244-1037-1
  • Type

    conf

  • DOI
    10.1109/CISS.2007.4298273
  • Filename
    4298273