Measuring Time-Frequency Information and Complexity using the Renyi Entropies
| dc.citation.bibtexName | inproceedings | en_US |
| dc.citation.conferenceName | IEEE International Symposium on Informatin Theory (ISIT) | en_US |
| dc.citation.firstpage | 426 | en_US |
| dc.citation.location | Whistler, BC | en_US |
| dc.contributor.author | Baraniuk, Richard G. | en_US |
| dc.contributor.author | Flandrin, Patrick | en_US |
| dc.contributor.author | Michel, Olivier | en_US |
| dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
| dc.date.accessioned | 2007-10-31T00:35:30Z | en_US |
| dc.date.available | 2007-10-31T00:35:30Z | en_US |
| dc.date.issued | 1995-09-01 | en_US |
| dc.date.modified | 2006-06-12 | en_US |
| dc.date.note | 2006-06-12 | en_US |
| dc.date.submitted | 1995-09-01 | en_US |
| dc.description | Conference Paper | en_US |
| dc.description.abstract | In search of a nonparametric indicator of deterministic signal complexity, we link the Renyi entropies to time-frequency representations. The resulting measures show promise in several situations where concepts like the time-bandwidth product fail. | en_US |
| dc.identifier.citation | R. G. Baraniuk, P. Flandrin and O. Michel, "Measuring Time-Frequency Information and Complexity using the Renyi Entropies," 1995. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/19698 | en_US |
| dc.language.iso | eng | en_US |
| dc.subject.other | DSP for Communications | en_US |
| dc.title | Measuring Time-Frequency Information and Complexity using the Renyi Entropies | en_US |
| dc.type | Conference paper | en_US |
| dc.type.dcmi | Text | en_US |
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