• DocumentCode
    2492433
  • Title

    Filter design to guarantee convergence of the pseudolinear regression IIR adaptive algorithm

  • Author

    Perez-Gonzallez, F. ; Abdallah, C.

  • Author_Institution
    ETSI Telecomunicacion, Vigo Univ.
  • fYear
    1994
  • fDate
    2-5 Oct 1994
  • Firstpage
    19
  • Lastpage
    22
  • Abstract
    In this paper we design a finite impulse response (FIR) filter to enforce the so-called strictly positive realness (SPR) condition in an adaptive infinite impulse response (IIR) filtering context. The paper results may then be used to guarantee the convergence of pseudolinear regression IIR adaptive algorithms
  • Keywords
    FIR filters; IIR filters; adaptive filters; convergence of numerical methods; filtering theory; network synthesis; statistical analysis; FIR filter; adaptive IIR filtering; convergence; filter design; finite impulse response filter; pseudolinear regression IIR adaptive algorithm; strictly positive realness condition; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Convergence; Delay estimation; Equations; Filtering; Finite impulse response filter; IIR filters; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop, 1994., 1994 Sixth IEEE
  • Conference_Location
    Yosemite National Park, CA
  • Print_ISBN
    0-7803-1948-6
  • Type

    conf

  • DOI
    10.1109/DSP.1994.379883
  • Filename
    379883
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2492433