Statements in which the resource exists.
SubjectPredicateObjectContext
pubmed-article:20643606rdf:typepubmed:Citationlld:pubmed
pubmed-article:20643606lifeskim:mentionsumls-concept:C0330195lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C0442598lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C1546637lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C1704449lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C1704684lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C1704922lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C1858105lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C0205174lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C0009219lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C0185125lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C0180860lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C0581406lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C1522664lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C1550638lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C1707689lld:lifeskim
pubmed-article:20643606lifeskim:mentionsumls-concept:C2698651lld:lifeskim
pubmed-article:20643606pubmed:issue2lld:pubmed
pubmed-article:20643606pubmed:dateCreated2011-1-14lld:pubmed
pubmed-article:20643606pubmed:abstractTextThis correspondence proposes an efficient semidefinite programming (SDP) method for the design of a class of linear phase finite impulse response triplet halfband filter banks whose filters have optimal frequency selectivity for a prescribed regularity order. The design problem is formulated as the minimization of the least square error subject to peak error constraints and regularity constraints. By using the linear matrix inequality characterization of the trigonometric semi-infinite constraints, it can then be exactly cast as a SDP problem with a small number of variables and, hence, can be solved efficiently. Several design examples of the triplet halfband filter bank are provided for illustration and comparison with previous works. Finally, the image coding performance of the filter bank is presented.lld:pubmed
pubmed-article:20643606pubmed:languageenglld:pubmed
pubmed-article:20643606pubmed:journalhttp://linkedlifedata.com/r...lld:pubmed
pubmed-article:20643606pubmed:statusPubMed-not-MEDLINElld:pubmed
pubmed-article:20643606pubmed:monthFeblld:pubmed
pubmed-article:20643606pubmed:issn1941-0042lld:pubmed
pubmed-article:20643606pubmed:authorpubmed-author:TiddM JMJlld:pubmed
pubmed-article:20643606pubmed:authorpubmed-author:NguyenT QTQlld:pubmed
pubmed-article:20643606pubmed:authorpubmed-author:DayT TTTlld:pubmed
pubmed-article:20643606pubmed:issnTypeElectroniclld:pubmed
pubmed-article:20643606pubmed:volume20lld:pubmed
pubmed-article:20643606pubmed:ownerNLMlld:pubmed
pubmed-article:20643606pubmed:authorsCompleteYlld:pubmed
pubmed-article:20643606pubmed:pagination586-91lld:pubmed
pubmed-article:20643606pubmed:year2011lld:pubmed
pubmed-article:20643606pubmed:articleTitleOptimal design of FIR triplet halfband filter bank and application in image coding.lld:pubmed
pubmed-article:20643606pubmed:affiliationSchool of Electrical Engineering and Telecommunications, University of New South Wales, UNSW Sydney, NSW 2052, Australia. h.k.ha@unsw.edu.aulld:pubmed
pubmed-article:20643606pubmed:publicationTypeJournal Articlelld:pubmed