Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389957
