Hybrid Linear / Bilinear Time-Scale Analysis

dc.citation.bibtexNamearticleen_US
dc.citation.firstpage254
dc.citation.issueNumber1en_US
dc.citation.journalTitleIEEE Transactions on Signal Processingen_US
dc.citation.lastpage259
dc.citation.volumeNumber47en_US
dc.contributor.authorPasquier, Martinen_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.accessioned2007-10-31T00:58:02Z
dc.date.available2007-10-31T00:58:02Z
dc.date.issued1999-01-01en
dc.date.modified2006-07-19en_US
dc.date.submitted2004-11-07en_US
dc.descriptionJournal Paperen_US
dc.description.abstractWe introduce a new method for the time-scale analysis of non-stationary signals. Our work leverages the success of the "time-frequency distribution series / cross-term deleted representations" into the time-scale domain to match wide-band signals that are better modeled in terms of time shifts and scale changes than in terms of time and frequency shifts. Using a wavelet decomposition and the Bertrand time-scale distribution, we locally balance linearity and bilinearity in order to provide good resolution while suppressing troublesome interference components. The theory of frames provides a unifying perspective for cross-term deleted representations in general.en_US
dc.identifier.citationM. Pasquier, P. Goncalves and R. G. Baraniuk, "Hybrid Linear / Bilinear Time-Scale Analysis," <i>IEEE Transactions on Signal Processing,</i> vol. 47, no. 1, 1999.
dc.identifier.doihttp://dx.doi.org/10.1109/78.738266en_US
dc.identifier.urihttps://hdl.handle.net/1911/20200
dc.language.isoeng
dc.subjectTemporary*
dc.subject.keywordTemporaryen_US
dc.subject.otherTime Frequency and Spectral Analysisen_US
dc.titleHybrid Linear / Bilinear Time-Scale Analysisen_US
dc.typeJournal article
dc.type.dcmiText
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