A Simple Covariance Based Characterization of Joint Signal Representations of Arbitrary Variables

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE-SP International Symposium on Time-frequency and Time-scale Analysisen_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.accessioned2007-10-31T00:48:26Z
dc.date.available2007-10-31T00:48:26Z
dc.date.issued1996-01-20en
dc.date.modified2004-01-22en_US
dc.date.note2004-01-09en_US
dc.date.submitted1996-01-20en_US
dc.descriptionConference Paperen_US
dc.description.abstractJoint signal representations of arbitrary variables extend the scope of joint time-frequency representations, and provide a useful description for a wide variety of nonstationary signal characteristics. Cohen's marginal-based theory for bilinear representations is canonical from a distributional viewpoint, whereas, from other perspectives, such as characterization of the effect of unitary signal transformations of interest, a covariance-based formulation is needed and more attractive. In this paper, we present a simple covariance-based characterization of bilinear joint signal representations of arbitrary variables. The formulation is highlighted by its simple structure and interpretation, and naturally extends the concept of the corresponding linear representations.en_US
dc.identifier.citationD. L. Jones and A. M. Sayeed, "A Simple Covariance Based Characterization of Joint Signal Representations of Arbitrary Variables," 1996.
dc.identifier.urihttps://hdl.handle.net/1911/19987
dc.language.isoeng
dc.subjectjoint*
dc.subjectsignal*
dc.subjectrepresentations*
dc.subject.keywordjointen_US
dc.subject.keywordsignalen_US
dc.subject.keywordrepresentationsen_US
dc.subject.otherTime Frequency and Spectral Analysisen_US
dc.titleA Simple Covariance Based Characterization of Joint Signal Representations of Arbitrary Variablesen_US
dc.typeConference paper
dc.type.dcmiText
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