An improved bias-compensation approach for errors-in-variables model identification
Automatica (Journal of IFAC)
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 iterative SOCP
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Design methodology for nearly linear-phase recursive digital filters by constrained optimization
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Minimax design of IIR digital filters using a sequential constrained least-squares method
IEEE Transactions on Signal Processing
Minimax design of IIR digital filters using SDP relaxation technique
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Design of optimal controllers for spatially invariant systems with finite communication speed
Automatica (Journal of IFAC)
Design of IIR filters using a pole-zero mapping approach
Digital Signal Processing
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In this paper, we consider infinite impulse response (IIR) filter design where both magnitude and phase are optimized using a weighted and sampled least-squares criterion. We propose a new convex stability domain defined by positive realness for ensuring the stability of the filter and adapt the Steiglitz-McBride (SM), Gauss-Newton (GN), and classical descent methods to the new stability domain. We show how to describe the stability domain such that the description is suited to semidefinite programming and is implementable exactly; in addition, we prove that this domain contains the domain given by Rouche´'s theorem. Finally, we give experimental evidence that the best designs are usually obtained with a multistage algorithm, where the three above methods are used in succession, each one being initialized with the result of the previous and where the positive realness stability domain is used instead of that defined by Rouche´'s theorem.