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dc.contributor.authorHo, C.
dc.contributor.authorLing, W.
dc.contributor.authorBenmesbah, L.
dc.contributor.authorKok, T.
dc.contributor.authorTeo, Kok Lay
dc.date.accessioned2017-01-30T10:32:37Z
dc.date.available2017-01-30T10:32:37Z
dc.date.created2011-03-28T20:02:05Z
dc.date.issued2010
dc.identifier.citationHo, C.Y.-F. and Ling, B.W.-K. and Benmesbah, L. and Kok, T.C.-W. and Teo, K.-L. 2010. Two-Channel Linear Phase FIR QMF Bank Minimax Design via Global Nonconvex Optimization Programming. IEEE Transactions on Signal Processing. 58 (8): pp. 4436-4441.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/3602
dc.identifier.doi10.1109/TSP.2010.2049107
dc.description.abstract

In this correspondence, a two-channel linear phase finite-impulse-response (FIR) quadrature mirror filter (QMF) bank minimax design problem is formulated as a nonconvex optimization problem so that a weighted sum of the maximum amplitude distortion of the filter bank, the maximum passband ripple magnitude and the maximum stopband ripple magnitude of the prototype filter is minimized subject to specifications on these performances. A modified filled function method is proposed for finding the global minimum of the nonconvex optimization problem. Computer numerical simulations show that our proposed design method is efficient and effective.

dc.publisherIEEE Signal Processing Society
dc.subjectnonconvex optimization problem
dc.subjecttwo-channel linear phase FIR QMF bank minimax design
dc.subjectglobal optimization
dc.subjectFilled function
dc.titleTwo-Channel Linear Phase FIR QMF Bank Minimax Design via Global Nonconvex Optimization Programming
dc.typeJournal Article
dcterms.source.volume58
dcterms.source.startPage4436
dcterms.source.endPage4441
dcterms.source.issn1053-587X
dcterms.source.titleIEEE Transactions on Signal Processing
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curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access


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