FIR, allpass, and IIR variable fractional delay digital filter design
IEEE Transactions on Circuits and Systems Part I: Regular Papers
IIR digital filter design with new stability constraint based on argument principle
IEEE Transactions on Circuits and Systems Part I: Regular Papers
A novel approach to stable iir digital filter design
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Minimax design of IIR digital filters using SDP relaxation technique
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Design of IIR filters using a pole-zero mapping approach
Digital Signal Processing
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This paper presents a method for the weighted least-squares approximation of finite impulse response (FIR) filters by infinite impulse response (IIR) filters. It is shown, how a solution to this approximation problem can be obtained by solving a related pure least-squares approximation problem. For the latter, we utilize a generalized version of a previously published technique with low computational complexity and guaranteed stability of the IIR filters. Unlike the well-established model-reduction approaches that are carried out in the state space, our method works directly with the numerator and denominator coefficients of the transfer functions. Thus, the influence of finite-precision arithmetic on the results is small. This makes our approach applicable for the approximation of large-order FIR filters and allows the usage of arbitrarily shaped weighting functions. It is shown that our method can successfully be employed to achieve a uniform approximation