A Canonical Covariance Based Method for Generalized Joint Signal Representations
dc.citation.bibtexName | article | en_US |
dc.citation.journalTitle | IEEE Signal Processing Letters | en_US |
dc.contributor.author | Jones, Douglas L. | en_US |
dc.contributor.author | Sayeed, Akbar M. | en_US |
dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
dc.date.accessioned | 2007-10-31T00:48:24Z | en_US |
dc.date.available | 2007-10-31T00:48:24Z | en_US |
dc.date.issued | 1996-04-20 | en_US |
dc.date.modified | 2004-01-22 | en_US |
dc.date.submitted | 2004-01-09 | en_US |
dc.description | Journal Paper | en_US |
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. | en_US |
dc.identifier.citation | D. L. Jones and A. M. Sayeed, "A Canonical Covariance Based Method for Generalized Joint Signal Representations," <i>IEEE Signal Processing Letters,</i> 1996. | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/97.489067 | en_US |
dc.identifier.uri | https://hdl.handle.net/1911/19986 | en_US |
dc.language.iso | eng | en_US |
dc.subject | joint signal representations | en_US |
dc.subject.keyword | joint signal representations | en_US |
dc.subject.other | Time Frequency and Spectral Analysis | en_US |
dc.title | A Canonical Covariance Based Method for Generalized Joint Signal Representations | en_US |
dc.type | Journal article | en_US |
dc.type.dcmi | Text | en_US |
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