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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Cavalcante, Charles Casimiro | - |
dc.contributor.author | Mota, João César Moura | - |
dc.contributor.author | Romano, João Marcos Travassos | - |
dc.date.accessioned | 2012-12-13T19:17:41Z | - |
dc.date.available | 2012-12-13T19:17:41Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | CAVALCANTE, C. C. ; MOTA, J. C. M. ; ROMANO, J. M. T. Polynomial expansion of the probability density function about gaussian mixtures. In: WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 14., 2004, São Luiz. Anais... São Luiz: IEEE, 2004. p. 163-172 | pt_BR |
dc.identifier.uri | http://www.repositorio.ufc.br/handle/riufc/4167 | - |
dc.description.abstract | A polynomial expansion to probability density function (pdf) approximation about Gaussian mixture densities is proposed in this paper. Using known polynomial series expansions we apply the Pareen estimator to derive an orthonormal basis that is able to represent the characteristics of probability distributions that are not concentrated in the vicinity of the mean point such as the Gaussian pdf. The blind source separation problem is used to illustrate the applicability of the proposal in practical analysis of the dynamics of the recovered data pdf estimation. Simulations are carried out to illustrate the analysis. | pt_BR |
dc.language.iso | en | pt_BR |
dc.publisher | Workshop on Machine Learning for Signal Processing | pt_BR |
dc.subject | Teleinformática | pt_BR |
dc.title | Polynomial expansion of the probability density function about gaussian mixtures | pt_BR |
dc.type | Artigo de Evento | pt_BR |
Aparece nas coleções: | DETE - Trabalhos apresentados em eventos |
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2004_eve_cccavalcante.pdf | 289,48 kB | Adobe PDF | Visualizar/Abrir |
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