Pseudo Affine Wigner Distributions: Definition and Kernel Formulation

dc.citation.bibtexNamearticleen_US
dc.citation.firstpage1505
dc.citation.issueNumber6en_US
dc.citation.journalTitleIEEE Transactions on Signal Processingen_US
dc.citation.lastpage1516
dc.citation.volumeNumber46en_US
dc.contributor.authorGoncalves, Pauloen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:44:42Z
dc.date.available2007-10-31T00:44:42Z
dc.date.issued1998-06-01en
dc.date.modified2006-07-24en_US
dc.date.submitted2004-01-09en_US
dc.descriptionJournal Paperen_US
dc.description.abstractIn this paper, we introduce a new set of tools for time-varying spectral analysis: the pseudo affine Wigner distributions. Based on the affine Wigner distributions of J. and P. Bertrand, these new time-scale distributions support efficient online operation at the same computational cost as the continuous wavelet transform. Moreover, they take advantage of the proportional bandwidth smoothing inherent in the sliding structure of their implementation to suppress cumbersome interference components. To formalize their place within the echelon of the affine class of time-scale distributions, we extend the definition of this class and introduce other natural generators.en_US
dc.identifier.citationP. Goncalves and R. G. Baraniuk, "Pseudo Affine Wigner Distributions: Definition and Kernel Formulation," <i>IEEE Transactions on Signal Processing,</i> vol. 46, no. 6, 1998.
dc.identifier.doihttp://dx.doi.org/10.1109/78.678464en_US
dc.identifier.urihttps://hdl.handle.net/1911/19900
dc.language.isoeng
dc.subjectTemporary*
dc.subject.keywordTemporaryen_US
dc.subject.otherTime Frequency and Spectral Analysisen_US
dc.titlePseudo Affine Wigner Distributions: Definition and Kernel Formulationen_US
dc.typeJournal article
dc.type.dcmiText
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