Title :
FIR filter order reduction: balanced model truncation and Hankel-norm optimal approximation
Author :
Kale, I. ; Gryka, J. ; Cain, G.D. ; Beliczynski, B.
Author_Institution :
Sch. of Electron. & Manuf. Syst. Eng., Westminster Univ., London, UK
fDate :
6/1/1994 12:00:00 AM
Abstract :
Two different algorithms for approximating FIR by IIR filters are treated: truncation of the balanced model and the Hankel-norm optimal approximation. Both are assessed for approximation fidelity, as well as for intrinsic computational efficiency. Examples show surprisingly good relative performance of the balanced model truncation, suggesting that frequently this method will be operationally preferable
Keywords :
approximation theory; digital filters; filtering and prediction theory; FIR filter order reduction; Hankel-norm optimal approximation; IIR filters; balanced model truncation; computational efficiency; performance;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:19941203
