Adaptive Wavelet Transforms via Lifting

dc.citation.bibtexNamearticleen_US
dc.citation.journalTitleIEEE Transactions on Signal Processingen_US
dc.contributor.authorClaypoole, Roger L.en_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.authorNowak, Robert Daviden_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:40:26Z
dc.date.available2007-10-31T00:40:26Z
dc.date.issued1998en
dc.date.modified2006-07-05en_US
dc.date.submitted2004-01-08en_US
dc.descriptionJournal Paperen_US
dc.description.abstractThis paper develops new algorithms for adapted multiscale analysis and signal adaptive wavelet transforms. We construct our adaptive transforms with the <i>lifting scheme</i>, which decomposes the wavelet transform into prediction and update stages. We adapt the prediction stage to the signal structure and design the update stage to preserve the desirable properties of the wavelet transform. We incorporate this adaptivity into the redundant and non-redundant transforms; the resulting transforms are scale and spatially adaptive. We study applications to signal estimation; our new transforms show improved denoising performance over existing (non-adaptive) orthogonal transforms.en_US
dc.identifier.citationR. L. Claypoole, R. G. Baraniuk and R. D. Nowak, "Adaptive Wavelet Transforms via Lifting," <i>IEEE Transactions on Signal Processing,</i> 1998.
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.1998.681737en_US
dc.identifier.urihttps://hdl.handle.net/1911/19807
dc.language.isoeng
dc.subjectTemporary*
dc.subject.keywordTemporaryen_US
dc.subject.otherWavelet based Signal/Image Processingen_US
dc.titleAdaptive Wavelet Transforms via Liftingen_US
dc.typeJournal article
dc.type.dcmiText
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