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Minimax design of 2-D IIR digital filters using sequential semidefinite programming

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2 Author(s)
W. -S. Lu ; Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada ; A. Antoniou

A method for the minimax design of quadrantally symmetric 2-D IIR filters with guaranteed stability is proposed. The design problem is solved by formulating an objective function in the semidefinite programming framework using a linear approximation for the transfer function. The issue of filter stability is addressed by converting the stability constraints into linear matrix inequalities based on the well-know Lyapunov stability theory.

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Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on  (Volume:3 )

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