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.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Symposium on Information Theory - Proceedings |
| Place of Publication | Piscataway, NJ, United States |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| State | Published - Jan 1 1995 |
| Event | Proceedings of the 1995 IEEE International Symposium on Information Theory - Whistler, BC, Can Duration: Sep 17 1995 → Sep 22 1995 |
Other
| Other | Proceedings of the 1995 IEEE International Symposium on Information Theory |
|---|---|
| City | Whistler, BC, Can |
| Period | 9/17/95 → 9/22/95 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Applied Mathematics
- Modeling and Simulation
- Theoretical Computer Science
- Information Systems
Fingerprint
Dive into the research topics of 'Measuring time-frequency information and complexity using the Renyi entropies'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS