• DocumentCode
    1196534
  • Title

    An adaptive IIR algorithm with unimodal performance surfaces

  • Author

    Karni, Shlomo ; Zeng, Gengsheng

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
  • Volume
    36
  • Issue
    2
  • fYear
    1988
  • fDate
    2/1/1988 12:00:00 AM
  • Firstpage
    286
  • Lastpage
    287
  • Abstract
    The authors develop an adaptive IIR (infinite-impulse response) algorithm by means of least squares inverses; the algorithm also guarantees the resulting IIR system to be stable. This IIR algorithm consists of two subalgorithms, i.e. the all-pole QN( z) and all-zero PN(z) algorithms. Both are with quadratic performance surfaces and stable. The iterations for QN(z) and PN(z ) can be executed simultaneously or alternatively. The all-pole part is independent of PN(z), but the all-zero part depends on QN(z) at each iteration. In many cases, the all-pole model itself is a fairly good approximation of an IIR system
  • Keywords
    digital filters; filtering and prediction theory; IIR filter; adaptive IIR algorithm; all-pole algorithm; all-pole model; all-zone algorithm; infinite-impulse response; iterations; least squares inverses; quadratic performance surfaces; unimodal performance surfaces; Adaptive algorithm; Adaptive systems; Finite impulse response filter; Gold; Hydrogen; IIR filters; Least squares methods; Polynomials; Signal processing algorithms; Speech processing;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.1520
  • Filename
    1520