Adaptive Wavelet Transforms via Lifting
dc.citation.bibtexName | article | en_US |
dc.citation.journalTitle | IEEE Transactions on Signal Processing | en_US |
dc.contributor.author | Claypoole, Roger L. | en_US |
dc.contributor.author | Baraniuk, Richard G. | en_US |
dc.contributor.author | Nowak, Robert David | en_US |
dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
dc.date.accessioned | 2007-10-31T00:40:26Z | en_US |
dc.date.available | 2007-10-31T00:40:26Z | en_US |
dc.date.issued | 1998 | en_US |
dc.date.modified | 2006-07-05 | en_US |
dc.date.submitted | 2004-01-08 | en_US |
dc.description | Journal Paper | en_US |
dc.description.abstract | This 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.citation | R. L. Claypoole, R. G. Baraniuk and R. D. Nowak, "Adaptive Wavelet Transforms via Lifting," <i>IEEE Transactions on Signal Processing,</i> 1998. | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/ICASSP.1998.681737 | en_US |
dc.identifier.uri | https://hdl.handle.net/1911/19807 | en_US |
dc.language.iso | eng | en_US |
dc.subject | Temporary | en_US |
dc.subject.keyword | Temporary | en_US |
dc.subject.other | Wavelet based Signal/Image Processing | en_US |
dc.title | Adaptive Wavelet Transforms via Lifting | en_US |
dc.type | Journal article | en_US |
dc.type.dcmi | Text | en_US |