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Título:
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Improving algorithm speed in PNL mixture separation and Wiener system inversion
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Autor/a:
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Solé-Casals, Jordi; Babaie-Zadeh, Massoud; Jutten, Christian; Pham, Dinh-Tuan
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Otros autores:
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Universitat de Vic. Escola Politècnica Superior; Universitat de Vic. Grup de Recerca en Tecnologies Digitals; International Symposium on Independent Component Analysis and Blind Signal Separation ( 4art : 2003 : Nara); ICA2003 |
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Notas:
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This paper proposes a very simple method for increasing
the algorithm speed for separating sources from PNL mixtures
or invertingWiener systems. The method is based on a
pertinent initialization of the inverse system, whose computational
cost is very low. The nonlinear part is roughly approximated
by pushing the observations to be Gaussian; this
method provides a surprisingly good approximation even
when the basic assumption is not fully satisfied. The linear
part is initialized so that outputs are decorrelated. Experiments
shows the impressive speed improvement. |
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Materia(s):
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-Tractament del senyal |
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Derechos:
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http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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