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 :
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