Hybrid Linear/Bilinear Time-Scale Analysis

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE-SP International Symposium on Time-frequency and Time-scale Analysisen_US
dc.citation.firstpage513
dc.citation.lastpage516
dc.citation.locationParis, Franceen_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.accessioned2007-10-31T00:57:59Z
dc.date.available2007-10-31T00:57:59Z
dc.date.issued1996-06-01en
dc.date.modified2006-06-12en_US
dc.date.note2006-06-12en_US
dc.date.submitted1996-06-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractWe introduce a new method for the time-scale analysis of nonstationary signals. Our work leverages the success of the â time-frequency distribution series/cross-term deleted representationsâ into the time-scale domain to match wide-band signals that are not well modeled in terms of time and frequency shifts. Using a wavelet decomposition and the Bertrand (see J. Math. Phys., vol.33, p.2515-27, 1992) 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 and leads us to insights into the cross-term deleted representations.en_US
dc.identifier.citationM. Pasquier, P. Goncalves and R. G. Baraniuk, "Hybrid Linear/Bilinear Time-Scale Analysis," 1996.
dc.identifier.urihttps://hdl.handle.net/1911/20199
dc.language.isoeng
dc.subject.otherDSP for Communicationsen_US
dc.titleHybrid Linear/Bilinear Time-Scale Analysisen_US
dc.typeConference paper
dc.type.dcmiText
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