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dc.contributor.authorNowak, Robert David
Baraniuk, Richard G.
dc.creatorNowak, Robert David
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T00:56:18Z
dc.date.available 2007-10-31T00:56:18Z
dc.date.issued 1996-11-01
dc.date.submitted 1996-11-01
dc.identifier.urihttp://hdl.handle.net/1911/20159
dc.description Conference Paper
dc.description.abstract The authors propose a new filtering/estimation method for nuclear medicine imaging. The statistical method of cross-validation is used to design optimal wavelet domain filters for improved image estimation. The quality of the resulting images is much better than standard image estimates, in both visual and mean square error senses. Moreover, experiments have shown that, using the new estimate, one can reduce the acquisition time by a factor of two and still retain high image quality.
dc.language.iso eng
dc.subject.otherDSP for Communications
dc.title Wavelet Domain Filtering for Nuclear Medicine Imaging
dc.type Conference paper
dc.date.note 2006-06-12
dc.citation.bibtexName inproceedings
dc.date.modified 2006-06-12
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.citation.volumeNumber 3
dc.citation.pageNumber 1802-1806
dc.citation.location Anaheim, CA
dc.citation.conferenceName IEEE Nuclear Science Symposium
dc.type.dcmi Text
dc.identifier.citation R. D. Nowak and R. G. Baraniuk, "Wavelet Domain Filtering for Nuclear Medicine Imaging," vol. 3, pp. 1802-1806, 1996.


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  • ECE Publications [1059]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.

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