IIR digital filter design with new stability constraint based on argument principle
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Least-squares approximation of FIR by IIR digital filters
IEEE Transactions on Signal Processing
Multistage IIR filter design using convex stability domains defined by positive realness
IEEE Transactions on Signal Processing
The use of model reduction techniques for designing IIR filterswith linear phase in the passband
IEEE Transactions on Signal Processing
Weighted least-squares approximation of FIR by IIR digital filters
IEEE Transactions on Signal Processing
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In this paper, the problem of designing stable infinite impulse response (IIR) digital filters is discussed. Based on a continuous-time state-space structure and the generalized bilinear transformation, a new parametrization for stable IIR digital filter design is proposed. One of the advantages of this parametrization is that the corresponding stability region is the entire parameter space and hence the design can be carried out using well-established unconstrained optimization methods. Two design examples are presented to demonstrate the performance of the proposed approach and to compare it with an existing one, which show the superior behavior of the filters obtained with the proposed approach to those achieved with the existing one.