Efficient Approximation of Continuous Wavelet Transforms

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dc.citation.bibtexNamearticleen_US
dc.citation.firstpage748en_US
dc.citation.issueNumber9en_US
dc.citation.journalTitleIEEE Electronic Lettersen_US
dc.citation.lastpage750en_US
dc.citation.volumeNumber27en_US
dc.contributor.authorJones, Douglas L.en_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:48:06Zen_US
dc.date.available2007-10-31T00:48:06Zen_US
dc.date.issued1991-04-01en_US
dc.date.modified2006-07-24en_US
dc.date.submitted2004-11-07en_US
dc.descriptionJournal Paperen_US
dc.description.abstractAn efficient method, based on the chirp-z transform, for computing equally spaced time samples of a continuous wavelet transform at arbitrary scale samples is developed. Applications include efficient computation of samples of the continuous wavelet transform and the broadband ambiguity function for time-frequency and time-scale signal analysis, and optimal detection of moving targets.en_US
dc.identifier.citationD. L. Jones and R. G. Baraniuk, "Efficient Approximation of Continuous Wavelet Transforms," <i>IEEE Electronic Letters,</i> vol. 27, no. 9, 1991.en_US
dc.identifier.doihttp://dx.doi.org/10.1049/el:19910465en_US
dc.identifier.urihttps://hdl.handle.net/1911/19980en_US
dc.language.isoengen_US
dc.subjectcontinuous wavelet transformsen_US
dc.subject.keywordcontinuous wavelet transformsen_US
dc.subject.otherWavelet based Signal/Image Processingen_US
dc.titleEfficient Approximation of Continuous Wavelet Transformsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
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