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dc.contributor.authorLing, B.
dc.contributor.authorWu, C.
dc.contributor.authorTeo, Kok Lay
dc.contributor.authorRehbock, Volker
dc.identifier.citationLing, B.W.K. and Wu, C.Z, and Teo, K.L. and Rehbock, V. 2013. Global optimal design of IIR filters via constraint transcription and filled function methods. Circuits, Systems and Signal Processing. 32 (3): pp. 1313-1334

In this paper, we consider a globally optimal design of IIR filters. We formulate the design problem as a nonconvex optimization problem with a continuous inequality constraint and a nonconvex constraint. To solve this problem, the constraint transcription method is applied to tackle the continuous inequality constraint. In order to avoid the obtained solution being on the boundary of the feasible set, more than one initial points are used. Moreover, since the objective and the constraints are nonconvex functions, there may be many local minima. To address this problem, the filled function method is applied to escape from the local minima. Some numerical computer simulation results are presented to illustrate the effectiveness and efficiency of the proposed method.

dc.publisherSP Birkhäuser Verlag
dc.subjectconstraint transcription
dc.subjectglobal optimization
dc.subjectIIR filter design
dc.subjectfilled function
dc.titleGlobal optimal design of IIR filters via constraint transcription and filled function methods
dc.typeJournal Article
dcterms.source.titleCircuits, Systems and Signal Processing
curtin.accessStatusFulltext not available

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