• DocumentCode
    867267
  • Title

    Recursive least squares implementation of the quadratically constrained IIR filter

  • Author

    Özçelik, Izzet ; Kale, Izzet ; Baykal, Buyurman

  • Author_Institution
    Appl. DSP & VLSI Group, Univ. of Westminster, London, UK
  • Volume
    11
  • Issue
    2
  • fYear
    2004
  • Firstpage
    144
  • Lastpage
    147
  • Abstract
    To avoid the bias in the equation error (EE) method, the unit norm constrained EE approach was introduced. In order to get faster convergence, the implementation of the EE with the unit norm constraint using recursive least squares via variable loading is presented.
  • Keywords
    IIR filters; adaptive filters; convergence of numerical methods; least mean squares methods; recursive estimation; IIR filter; adaptive infinite-impulse response filtering; equation error method; quadratic constraint; recursive least squares implementation; variable loading; Adaptive filters; Autocorrelation; Convergence; Cost function; Digital filters; Equations; IIR filters; Least squares methods; Resonance light scattering; Vectors;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2003.821754
  • Filename
    1261964
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=867267