Title :
Least-squares approximation of FIR by IIR digital filters
Author :
Brandenstein, Hartmut ; Unbehauen, Rolf
Author_Institution :
Lehrstuhl fur Allgemeine und Theor. Elektrotech., Erlangen-Nurnberg Univ., Germany
fDate :
1/1/1998 12:00:00 AM
Abstract :
An algorithm is presented for the least-squares approximation of FIR filters by IIR filters. The algorithm is an iterative procedure where each iteration requires the solution of an overdetermined set of linear equations and some digital filtering operations. All calculations are performed with the numerator and denominator coefficients of the transfer functions. A conversion to state-space descriptions is not necessary. Examples show that the approximation error is as small as that of the IIR filters obtained with balanced model reduction. Moreover, the effects of numerical errors are negligible. Thus, our algorithm is applicable even in cases where the FIR filter length is large
Keywords :
FIR filters; IIR filters; digital filters; error analysis; filtering theory; iterative methods; least squares approximations; transfer functions; FIR digital filters; FIR filter length; IIR digital filters; approximation error; balanced model reduction; denominator coefficients; digital filtering; least-squares approximation; numerator coefficients; numerical errors; overdetermined linear equations; transfer functions; Approximation algorithms; Approximation error; Digital filters; Equations; Filtering algorithms; Finite impulse response filter; IIR filters; Iterative algorithms; Nonlinear filters; Transfer functions;
Journal_Title :
Signal Processing, IEEE Transactions on