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dc.contributor.authorSelesnick, Ivan W.
Baraniuk, Richard G.
Kingsbury, Nicholas G.
dc.creatorSelesnick, Ivan W.
Baraniuk, Richard G.
Kingsbury, Nicholas G.
dc.date.accessioned 2007-10-31T01:05:15Z
dc.date.available 2007-10-31T01:05:15Z
dc.date.issued 2005-11-01
dc.date.submitted 2006-05-30
dc.identifier.citation I. W. Selesnick, R. G. Baraniuk and N. G. Kingsbury, "The Dual-Tree Complex Wavelet Transform," IEEE Signal Processing Magazine, vol. 22, no. 6, 2005.
dc.identifier.urihttps://hdl.handle.net/1911/20355
dc.description Journal Paper
dc.description.abstract The 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.
dc.language.iso eng
dc.subjectFILTER BANKS
MULTISCALE TRANSFORMS
IMAGE
DESIGN
SIGNAL
BASES
COMPRESSION
ALGORITHMS
SCALE
PAIRS
dc.subject.otherWavelet based Signal/Image Processing
dc.title The Dual-Tree Complex Wavelet Transform
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle IEEE Signal Processing Magazine
dc.date.modified 2006-06-20
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordFILTER BANKS
MULTISCALE TRANSFORMS
IMAGE
DESIGN
SIGNAL
BASES
COMPRESSION
ALGORITHMS
SCALE
PAIRS
dc.citation.volumeNumber 22
dc.citation.issueNumber 6
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/MSP.2005.1550194
dc.citation.firstpage 123
dc.citation.lastpage 151


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    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1336]
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