DocumentCode
1119045
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
Volume
141
Issue
3
fYear
1994
fDate
6/1/1994 12:00:00 AM
Firstpage
168
Lastpage
174
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;
fLanguage
English
Journal_Title
Vision, Image and Signal Processing, IEE Proceedings -
Publisher
iet
ISSN
1350-245X
Type
jour
DOI
10.1049/ip-vis:19941203
Filename
296568
Link To Document