• DocumentCode
    3250012
  • Title

    Determination of a low-order system model using an adaptive technique

  • Author

    Jiang, J. ; Etter, D.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
  • fYear
    1989
  • fDate
    0-0 1989
  • Firstpage
    273
  • Lastpage
    276
  • Abstract
    An adaptive delay filter is used to model an unknown system. However, a low-order model is computed instead of a complete model. To illustrate the technique, an infinite impulse response (IIR) bandpass filter is modeled with a finite impulse response (FIR) approximation. Using the standard adaptive filter to model an IIR system requires a large filter, but an adaptive delay filter can do very well with only a few elements. Computer simulation results in the modeling process are included for both the adaptive delay filter and the standard adaptive filter using the least-mean-square (LMS) algorithm.<>
  • Keywords
    adaptive filters; digital simulation; filtering and prediction theory; least squares approximations; telecommunications computing; FIR; IIR system; LMS; adaptive delay filter; finite impulse response approximation; infinite impulse response bandpass filter; least-mean-square algorithm; low-order model; Adaptive filters; Communication system software; Filtering; Least squares methods; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Engineering, 1989., IEEE International Conference on
  • Conference_Location
    Fairborn, OH, USA
  • Type

    conf

  • DOI
    10.1109/ICSYSE.1989.48671
  • Filename
    48671