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dc.contributor.authorWu, Changzhi
dc.contributor.authorGao, David
dc.contributor.authorTeo, Kok Lay
dc.date.accessioned2017-01-30T13:20:37Z
dc.date.available2017-01-30T13:20:37Z
dc.date.created2014-03-26T20:00:59Z
dc.date.issued2013
dc.identifier.citationWu, Changzhi and Gao, David and Teo, Kok Lay. 2013. A direct optimization method for low group delay FIR filter design. Signal Processing. 93 (7): pp. 1764-1772.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/30635
dc.identifier.doi10.1016/j.sigpro.2013.01.015
dc.description.abstract

This paper studies the design of FIR filter with low group delay, where the desired phase response is not being approximated. It is formulated as a constrained optimization problem, which is then solved globally. Numerical experiments show that our design method can produce a filter with smaller group delay than that obtained by the existing convex optimization method used in conjunction with a minimum phase spectral factorization method under the same design criteria. Furthermore, our formulation offers us the flexibility for the trade-off between the group delay and the magnitude response directly. It also allows the feasibility of imposing constraints on the group delay.

dc.publisherElsevier BV
dc.subjectDuality
dc.subjectLow group delay
dc.subjectSemi-definite programming
dc.titleA direct optimization method for low group delay FIR filter design
dc.typeJournal Article
dcterms.source.volume93
dcterms.source.number7
dcterms.source.startPage1764
dcterms.source.endPage1772
dcterms.source.issn0165-1684
dcterms.source.titleSignal Processing
curtin.note

NOTICE: this is the author’s version of a work that was accepted for publication in Signal Processing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Signal Processing, Vol. 93, No. 7 (2013). DOI: 10.1016/j.sigpro.2013.01.015

curtin.departmentof Technlogy
curtin.accessStatusOpen access


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