A Canonical Covariance Based Method for Generalized Joint Signal Representations

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dc.citation.bibtexNamearticleen_US
dc.citation.journalTitleIEEE Signal Processing Lettersen_US
dc.contributor.authorJones, Douglas L.en_US
dc.contributor.authorSayeed, Akbar M.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:48:24Z
dc.date.available2007-10-31T00:48:24Z
dc.date.issued1996-04-20en
dc.date.modified2004-01-22en_US
dc.date.submitted2004-01-09en_US
dc.descriptionJournal Paperen_US
dc.description.abstractGeneralized joint signal representations extend the scope of joint time-frequency representations to a richer class of nonstationary signals. Cohen's marginal-based generalized approach is canonical from a distributional viewpoint, whereas, in some other applications, for example, in a signal detection framework, a covariance-based formulation is needed and/or more attractive. In this note, we present a canonical covariance-based recipe for generating generalized joint signal representations. The method is highlighted by its simple characterization and interpretation, and naturally extends the concept of the corresponding linear representations.en_US
dc.identifier.citationD. L. Jones and A. M. Sayeed, "A Canonical Covariance Based Method for Generalized Joint Signal Representations," <i>IEEE Signal Processing Letters,</i> 1996.
dc.identifier.doihttp://dx.doi.org/10.1109/97.489067en_US
dc.identifier.urihttps://hdl.handle.net/1911/19986
dc.language.isoeng
dc.subjectjoint signal representations*
dc.subject.keywordjoint signal representationsen_US
dc.subject.otherTime Frequency and Spectral Analysisen_US
dc.titleA Canonical Covariance Based Method for Generalized Joint Signal Representationsen_US
dc.typeJournal article
dc.type.dcmiText
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