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Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation
- Source :
- IEEE Transactions on Signal Processing. June, 2004, Vol. 52 Issue 6, p1489, 1498 p.
- Publication Year :
- 2004
-
Abstract
- The suitability of a class of Parzen-window-based entropy estimates, namely Renyi's entropy, as a criterion for blind deconvolution of linear channels are investigated. The results indicate that this nonparametric entropy estimation approach outperforms the standard Bell-Sejnowski and normalized kurtosis algorithms in blind deconvolution.
Details
- Language :
- English
- ISSN :
- 1053587X
- Volume :
- 52
- Issue :
- 6
- Database :
- Gale General OneFile
- Journal :
- IEEE Transactions on Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.119500737