Title :
Approximation of FIR by IIR digital filters: an algorithm based on balanced model reduction
Author :
Beliczynski, Bartlomiej ; Kale, Izzet ; Cain, Gerald D.
fDate :
3/1/1992 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on