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
Link To Document