Show simple item record

dc.contributor.authorFlandrin, Patrick
Baraniuk, Richard G.
Michel, Olivier
dc.creatorFlandrin, Patrick
Baraniuk, Richard G.
Michel, Olivier 2007-10-31T00:44:01Z 2007-10-31T00:44:01Z 1994-04-01 1994-04-01
dc.identifier.citation P. Flandrin, R. G. Baraniuk and O. Michel, "Time-Frequency Complexity and Information," vol. 3, 1994.
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
dc.subject.otherTime Frequency and Spectral Analysis
dc.title Time-Frequency Complexity and Information
dc.type Conference paper 2004-11-08
dc.citation.bibtexName inproceedings 2006-06-12
dc.contributor.orgDigital Signal Processing (
dc.subject.keywordtime frequency
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.citation.firstpage III-329
dc.citation.lastpage III-332

Files in this item


This item appears in the following Collection(s)

  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1397]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

Show simple item record