Geodesic
Nonparametric estimation of a mixture of probability densities of signals (interferences)
Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, Tome 152 (2010) no. 4, pp. 68-72 Cet article a éte moissonné depuis la source Math-Net.Ru

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In this article, we suggest using the parallel clustering procedure for the nonparametric estimation of a mixture of probability densities of signals (interferences). This procedure makes it possible to estimate with an adequate accuracy the parameters of the marginal mixture distribution, as well as the number of components (classes) in a mixture. The efficiency of the suggested method is confirmed by the numerical results.
Keywords: nonparametric estimation, mixture of probability densities, parallel clustering procedure. 
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     title = {Nonparametric estimation of a~mixture of probability densities of signals (interferences)},
     journal = {U\v{c}\"enye zapiski Kazanskogo universiteta. Seri\^a Fiziko-matemati\v{c}eskie nauki},
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     url = {http://geodesic.mathdoc.fr/item/UZKU_2010_152_4_a5/}
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E. A. Ibatoulline. Nonparametric estimation of a mixture of probability densities of signals (interferences). Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, Tome 152 (2010) no. 4, pp. 68-72. http://geodesic.mathdoc.fr/item/UZKU_2010_152_4_a5/

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