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A Limitation of the Kernel Method for Joint Distributions of Arbitrary Variables

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dc.contributor.author Baraniuk, Richard G.
dc.creator Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T00:35:39Z
dc.date.available 2007-10-31T00:35:39Z
dc.date.issued 1996-02-01
dc.date.submitted 2004-01-09
dc.identifier.uri http://hdl.handle.net/1911/19701
dc.description Journal Paper
dc.description.abstract Recently, Cohen has proposed a construction for joint distributions of arbitrary physical quantities, in direct generalization of joint time-frequency representations. Actually this method encompasses two approaches, one based on operator correspondences and one based on weighting kernels. The literature has emphasized the kernel method due to its ease of analysis; however, its simplicity comes at a price. In this paper, we use a simple example to demonstrate that the kernel method cannot generate all possible bilinear joint distributions. Our results suggest that the relationship between the operator method and the kernel method merits closer scrutiny.
dc.subject joint distributions
arbitrary physical quantities
dc.subject.other Time Frequency and Spectral Analysis
dc.title A Limitation of the Kernel Method for Joint Distributions of Arbitrary Variables
dc.type Journal Paper
dc.citation.bibtexName article
dc.citation.journalTitle IEEE Signal Processing Letters
dc.date.modified 2006-07-24
dc.contributor.center Digital Signal Processing (http://dsp.rice.edu/)
dc.subject.keyword joint distributions
arbitrary physical quantities
dc.citation.volumeNumber 3
dc.citation.pageNumber 51-53
dc.citation.issueNumber 2
dc.identifier.citation R. G. Baraniuk, "A Limitation of the Kernel Method for Joint Distributions of Arbitrary Variables," IEEE Signal Processing Letters, vol. 3, no. 2, pp. 51-53, 1996.

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    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.