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dc.contributor.authorChoi, Hyeokho
Baraniuk, Richard G.
dc.creatorChoi, Hyeokho
Baraniuk, Richard G. 2007-10-31T00:39:40Z 2007-10-31T00:39:40Z 1998-10-01 1998-10-01
dc.identifier.citation H. Choi and R. G. Baraniuk, "Analysis of Wavelet domain Wiener Filters," 1998.
dc.description Conference paper
dc.description.abstract We 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.
dc.language.iso eng
dc.subjectWiener filters
wavelet domain
dc.title Analysis of Wavelet domain Wiener Filters
dc.type Conference paper 2001-10-11
dc.citation.bibtexName inproceedings 2006-06-21
dc.contributor.orgDigital Signal Processing (
dc.subject.keywordWiener filters
wavelet domain
dc.citation.location Pittsburgh, PA
dc.citation.conferenceName IEEE-SP International Symposium on Time-frequency and Time-scale Analysis
dc.type.dcmi Text
dc.type.dcmi Text
dc.citation.firstpage 613
dc.citation.lastpage 616

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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1426]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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