FIR FILTER ORDER REDUCTION - BALANCED MODEL TRUNCATION AND HANKEL-NORM OPTIMAL APPROXIMATION

Authors
KALE I GRYKA J CAIN GD BELICZYNSKI B
Citation
I. Kale et al., FIR FILTER ORDER REDUCTION - BALANCED MODEL TRUNCATION AND HANKEL-NORM OPTIMAL APPROXIMATION, IEE proceedings. Vision, image and signal processing, 141(3), 1994, pp. 168-174
Citations number
13
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEE proceedings. Vision, image and signal processing → ACNP
ISSN journal
1350245X
Volume
141
Issue
3
Year of publication
1994
Pages
168 - 174
Database
ISI
SICI code
1350-245X(1994)141:3<168:FFOR-B>2.0.ZU;2-E
Abstract
Two different algorithms for approximating FIR by IIR filters are trea ted: truncation of the balanced model and the Hankel-norm optimal appr oximation. Both are assessed for approximation fidelity, as well as fo r intrinsic computational efficiency. Examples show surprisingly good relative performance of the balanced model truncation, suggesting that frequently this method will be operationally preferable.