New Dimensions In Wavelet Analysis

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)en_US
dc.citation.firstpage137
dc.citation.lastpage140
dc.citation.locationSan Francisco, CAen_US
dc.citation.volumeNumber5en_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.authorJones, Douglas L.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:34:41Z
dc.date.available2007-10-31T00:34:41Z
dc.date.issued1992-03-01en
dc.date.modified2006-07-24en_US
dc.date.note2004-01-09en_US
dc.date.submitted1992-03-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractIn this paper we propose a new class of signal analysis tools that generalizes the popular wavelet and short-time Fourier transforms. The class allows skews and rotations of the analyzing wavelet in the time-frequency plane, in addition to the time and frequency translations and scalings employed by conventional transforms. In addition to providing a unifying framework for studying existing time-frequency representations, the general class provides a systematic method for designing new representations with properties useful for certain types of signals.en_US
dc.identifier.citationR. G. Baraniuk and D. L. Jones, "New Dimensions In Wavelet Analysis," vol. 5, 1992.
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.1992.226639en_US
dc.identifier.urihttps://hdl.handle.net/1911/19682
dc.language.isoeng
dc.subjectFourier transform*
dc.subjectsignal analysis*
dc.subject.keywordFourier transformen_US
dc.subject.keywordsignal analysisen_US
dc.subject.otherTime Frequency and Spectral Analysisen_US
dc.titleNew Dimensions In Wavelet Analysisen_US
dc.typeConference paper
dc.type.dcmiText
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