The Dual-Tree Complex Wavelet Transform

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dc.citation.bibtexNamearticleen_US
dc.citation.firstpage123
dc.citation.issueNumber6en_US
dc.citation.journalTitleIEEE Signal Processing Magazineen_US
dc.citation.lastpage151
dc.citation.volumeNumber22en_US
dc.contributor.authorSelesnick, Ivan W.en_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.authorKingsbury, Nicholas G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:05:15Z
dc.date.available2007-10-31T01:05:15Z
dc.date.issued2005-11-01en
dc.date.modified2006-06-20en_US
dc.date.submitted2006-05-30en_US
dc.descriptionJournal Paperen_US
dc.description.abstractThe paper discusses the theory behind the dual-tree transform, shows how complex wavelets with good properties can be designed, and illustrates a range of applications in signal and image processing. The authors use the complex number symbol C in CWT to avoid confusion with the often-used acronym CWT for the (different) continuous wavelet transform. The four fundamentals, intertwined shortcomings of wavelet transform and some solutions are also discussed. Several methods for filter design are described for dual-tree CWT that demonstrates with relatively short filters, an effective invertible approximately analytic wavelet transform can indeed be implemented using the dual-tree approach.en_US
dc.identifier.citationI. W. Selesnick, R. G. Baraniuk and N. G. Kingsbury, "The Dual-Tree Complex Wavelet Transform," <i>IEEE Signal Processing Magazine,</i> vol. 22, no. 6, 2005.
dc.identifier.doihttp://dx.doi.org/10.1109/MSP.2005.1550194en_US
dc.identifier.urihttps://hdl.handle.net/1911/20355
dc.language.isoeng
dc.subjectFILTER BANKS*
dc.subjectMULTISCALE TRANSFORMS*
dc.subjectIMAGE*
dc.subjectDESIGN*
dc.subjectSIGNAL*
dc.subjectBASES*
dc.subjectCOMPRESSION*
dc.subjectALGORITHMS*
dc.subjectSCALE*
dc.subjectPAIRS*
dc.subject.keywordFILTER BANKSen_US
dc.subject.keywordMULTISCALE TRANSFORMSen_US
dc.subject.keywordIMAGEen_US
dc.subject.keywordDESIGNen_US
dc.subject.keywordSIGNALen_US
dc.subject.keywordBASESen_US
dc.subject.keywordCOMPRESSIONen_US
dc.subject.keywordALGORITHMSen_US
dc.subject.keywordSCALEen_US
dc.subject.keywordPAIRSen_US
dc.subject.otherWavelet based Signal/Image Processingen_US
dc.titleThe Dual-Tree Complex Wavelet Transformen_US
dc.typeJournal article
dc.type.dcmiText
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