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A Canonical Covariance Based Method for Generalized Joint Signal Representations

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dc.contributor.author Jones, Douglas L.
Sayeed, Akbar M.
dc.creator Jones, Douglas L.
Sayeed, Akbar M.
dc.date.accessioned 2007-10-31T00:48:24Z
dc.date.available 2007-10-31T00:48:24Z
dc.date.issued 1996-04-20
dc.date.submitted 2004-01-09
dc.identifier.uri http://hdl.handle.net/1911/19986
dc.description Journal Paper
dc.description.abstract Generalized 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.
dc.language.iso eng
dc.subject joint signal representations
dc.subject.other Time Frequency and Spectral Analysis
dc.title A Canonical Covariance Based Method for Generalized Joint Signal Representations
dc.type Journal Paper
dc.citation.bibtexName article
dc.citation.journalTitle IEEE Signal Processing Letters
dc.date.modified 2004-01-22
dc.contributor.center Digital Signal Processing (http://dsp.rice.edu/)
dc.subject.keyword joint signal representations
dc.type.dcmi Text
dc.identifier.citation D. L. Jones and A. M. Sayeed, "A Canonical Covariance Based Method for Generalized Joint Signal Representations," IEEE Signal Processing Letters, 1996.

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  • ECE Publications [1034 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.