• DocumentCode
    292984
  • Title

    On the formal derivation of a systolic array for recursive least squares estimation

  • Author

    Proudler, I.K. ; McWhirter, J.G. ; Moonen, M.

  • Author_Institution
    DRA, Malvern, UK
  • Volume
    2
  • fYear
    1994
  • fDate
    30 May-2 Jun 1994
  • Firstpage
    329
  • Abstract
    We present the proof of a new systolic array for implementing a recursive least squares (RLS) algorithm based on the QR decomposition (QRD) inverse-updates method. In its basic formulation, this algorithm contains a long data feedback path which makes the construction of a systolic architecture very difficult. Here we show how to transform the algorithm so as to circumvent this problem
  • Keywords
    Adaptive arrays; Equations; Least squares approximation; Least squares methods; Matrix decomposition; Pipeline processing; Resonance light scattering; Signal processing algorithms; Systolic arrays; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
  • Conference_Location
    London
  • Print_ISBN
    0-7803-1915-X
  • Type

    conf

  • DOI
    10.1109/ISCAS.1994.408971
  • Filename
    408971