Analysis of Wavelet domain Wiener Filters

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE-SP International Symposium on Time-frequency and Time-scale Analysisen_US
dc.citation.firstpage613
dc.citation.lastpage616
dc.citation.locationPittsburgh, PAen_US
dc.contributor.authorChoi, Hyeokhoen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:39:40Z
dc.date.available2007-10-31T00:39:40Z
dc.date.issued1998-10-01en
dc.date.modified2006-06-21en_US
dc.date.note2001-10-11en_US
dc.date.submitted1998-10-01en_US
dc.descriptionConference paperen_US
dc.description.abstractWe investigate Wiener filtering of wavelet coefficients for signal denoising. Empirically designed wavelet-domain Wiener filters outperform many other denoising algorithms based on wavelet thresholding. However, up to now, it has not been clear how to choose the signal model used to design the filter, because the effect of model selection on the filter performance is difficult to understand. By analyzing the error involved in the Wiener filter designed with an empirically obtained signal model, we show that hard thresholding is typically outperformed by a Wiener filter designed in an alternate wavelet domain. Our analysis furthermore provides a method for selecting the various parameters involved in a wavelet-domain Wiener filtering scheme.en_US
dc.identifier.citationH. Choi and R. G. Baraniuk, "Analysis of Wavelet domain Wiener Filters," 1998.
dc.identifier.doihttp://dx.doi.org/10.1109/TFSA.1998.721499en_US
dc.identifier.urihttps://hdl.handle.net/1911/19790
dc.language.isoeng
dc.subjectWiener filters*
dc.subjectwavelet domain*
dc.subject.keywordWiener filtersen_US
dc.subject.keywordwavelet domainen_US
dc.titleAnalysis of Wavelet domain Wiener Filtersen_US
dc.typeConference paper
dc.type.dcmiText
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