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dc.contributor.authorFlandrin, Patrick
Baraniuk, Richard G.
Michel, Olivier
dc.creatorFlandrin, Patrick
Baraniuk, Richard G.
Michel, Olivier
dc.date.accessioned 2007-10-31T00:44:01Z
dc.date.available 2007-10-31T00:44:01Z
dc.date.issued 1994-04-01
dc.date.submitted 1994-04-01
dc.identifier.citation P. Flandrin, R. G. Baraniuk and O. Michel, "Time-Frequency Complexity and Information," vol. 3, 1994.
dc.identifier.urihttps://hdl.handle.net/1911/19885
dc.description Conference Paper
dc.description.abstract Many functions have been proposed for estimating signal information content and complexity on the time-frequency plane, including moment-based measures such as the time-bandwidth product and the Shannon and Renyi entropies. When applied to a time-frequency representation from Cohen's class, the Renyi entropy conforms closely to the visually based notion of complexity that we use when inspecting time-frequency images. A detailed discussion reveals many of the desirable properties of the Renyi information measure for both deterministic and random signals.
dc.language.iso eng
dc.subjecttime frequency
complexity
dc.subject.otherTime Frequency and Spectral Analysis
dc.title Time-Frequency Complexity and Information
dc.type Conference paper
dc.date.note 2004-11-08
dc.citation.bibtexName inproceedings
dc.date.modified 2006-06-12
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordtime frequency
complexity
dc.citation.volumeNumber 3
dc.citation.location Adelaide, Australia
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.1994.390031
dc.citation.firstpage III-329
dc.citation.lastpage III-332


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1321]
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