Optimal design of magnitude responses of rational infinite impulse response filters

Ho, Charlotte Yuk-Fan and Ling, Bingo Wing-Kuen and Liu, Yan-Qun and Tam, Peter Kwong-Shun and Teo, Kok-Lay (2006) Optimal design of magnitude responses of rational infinite impulse response filters. IEEE Transactions on Signal Processing , 54 (10). pp. 4039-4046. ISSN 1053-587x

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Full text URL: http://dx.doi.org/10.1109/TSP.2006.880317

Abstract

This correspondence considers a design of magnitude responses of optimal rational infinite impulse response (IIR) filters. The design problem is formulated as an optimization problem in which a total weighted absolute error in the passband and stopband of the filters (the error function reflects a ripple square magnitude) is minimized subject to the specification on this weighted absolute error function defined in the corresponding passband and stopband, as well as the stability condition. Since the cost function is nonsmooth and nonconvex, while the constraints are continuous, this kind of optimization problem is a nonsmooth nonconvex continuous functional constrained problem. To address this issue, our previous proposed constraint transcription method is applied to transform the continuous functional constraints to equality constraints. Then the nonsmooth problem is approximated by a sequence of smooth problems and solved via a hybrid global optimization method. The solutions obtained from these smooth problems converge to the global optimal solution of the original optimization problem. Hence, small transition bandwidth filters can be obtained.

Item Type:Article
Additional Information:This correspondence considers a design of magnitude responses of optimal rational infinite impulse response (IIR) filters. The design problem is formulated as an optimization problem in which a total weighted absolute error in the passband and stopband of the filters (the error function reflects a ripple square magnitude) is minimized subject to the specification on this weighted absolute error function defined in the corresponding passband and stopband, as well as the stability condition. Since the cost function is nonsmooth and nonconvex, while the constraints are continuous, this kind of optimization problem is a nonsmooth nonconvex continuous functional constrained problem. To address this issue, our previous proposed constraint transcription method is applied to transform the continuous functional constraints to equality constraints. Then the nonsmooth problem is approximated by a sequence of smooth problems and solved via a hybrid global optimization method. The solutions obtained from these smooth problems converge to the global optimal solution of the original optimization problem. Hence, small transition bandwidth filters can be obtained.
Keywords:Rational IIR filters, constraint transcription method, hybrid global optimization method
Subjects:H Engineering > H600 Electronic and Electrical Engineering
Divisions:College of Science > School of Engineering
ID Code:2700
Deposited By: Rosaline Smith
Deposited On:22 Jun 2010 21:53
Last Modified:13 Mar 2013 08:39

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