DocumentCode :
768825
Title :
Optimizing FIR approximation for discrete-time IIR filters
Author :
Yamamoto, Yutaka ; Anderson, Brian D O ; Nagahara, Masaaki ; Koyanagi, Yoko
Author_Institution :
Dept. of Appl. Anal. & Complex Dynamical Syst., Kyoto Univ., Japan
Volume :
10
Issue :
9
fYear :
2003
Firstpage :
273
Lastpage :
276
Abstract :
Finite-impulse response (FIR) filters are often preferred to infinite-impulse response (IIR) filters because of their various advantages in respect of stability, phase characteristic, implementation, etc. This article proposes a new method to approximate an IIR filter by an FIR filter, which directly yields an optimal approximation with respect to the H/sup /spl infin// error norm. We show that this design problem can be reduced to a linear matrix inequality. We also make a comparison via a numerical example with an existing method, known as the Nehari shuffle.
Keywords :
FIR filters; IIR filters; approximation theory; discrete time filters; filtering theory; matrix algebra; optimisation; FIR approximation optimization; FIR filters; H/sup /spl infin// error norm; Nehari shuffle; discrete-time IIR filters; finite-impulse response filters; linear matrix inequality; phase characteristic; stability; Chebyshev approximation; Digital filters; Finite impulse response filter; IIR filters; Limit-cycles; Linear approximation; Linear matrix inequalities; Nonlinear filters; Quantization; Stability;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2003.815615
Filename :
1223586
Link To Document :
بازگشت