DocumentCode
1226387
Title
Approximation of FIR by IIR digital filters: an algorithm based on balanced model reduction
Author
Beliczynski, Bartlomiej ; Kale, Izzet ; Cain, Gerald D.
Volume
40
Issue
3
fYear
1992
fDate
3/1/1992 12:00:00 AM
Firstpage
532
Lastpage
542
Abstract
An algorithm for the approximation of finite impulse response (FIR) filters by infinite impulse response (IIR) filters is presented. The algorithm is based on a concept of balanced model reduction. The matrix inversions normally associated with this procedure are notoriously error prone due to ill conditioning of the special matrix forms required. This difficulty is circumvented here by directly formulating a reduced state-space system description which is input/output equivalent to the system that would more conventionally be obtained following the explicit step of constructing an (interim) balanced realization. Examples of FIR by IIR filter approximations are included
Keywords
approximation theory; digital filters; matrix algebra; FIR filters; IIR filter approximations; balanced model reduction; finite impulse response; infinite impulse response; matrix inversions; state-space system; Algorithm design and analysis; Approximation algorithms; Assembly; Chebyshev approximation; Digital filters; Finite impulse response filter; IIR filters; Reduced order systems; Systems engineering and theory; Transfer functions;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.120796
Filename
120796
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