Critical comparison of Hankel-norm optimal approximation and balanced model truncation algorithms as vehicles for FIR-to-IIR filter order reduction

Author

Beliczynski, B. ; Gryka, J. ; Kale, I.

Author_Institution

Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Poland

Volume

iii

fYear

1994

fDate

19-22 Apr 1994

Abstract

In this paper two powerful methods of FIR-to-IIR filter order reduction are presented and compared: truncation of balanced model and Hankel-norm optimal approximation. Conclusions based on very many filter order reduction runs indicate that balanced model truncation is often preferrable

Keywords

FIR filters; Hankel matrices; IIR filters; filtering theory; reduced order systems; state-space methods; transfer function matrices; FIR-to-IIR filter order reduction; Hankel-norm optimal approximation; balanced model truncation algorithms; Algorithm design and analysis; Approximation algorithms; Finite impulse response filter; Frequency; IIR filters; Optimal control; Optimization methods; Signal processing algorithms; Transfer functions; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389957

Filename

389957

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=290516