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Título:
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Initialisation of Nonlinearities for PNL and Wiener systems Inversion
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Autor/a:
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Solé-Casals, Jordi; 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 Work-Conference on Artificial and Natural Neural Networks (7a : 2003 : Maó, Menorca, Illes Balears) |
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Notas:
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This paper proposes a very fast method for blindly initial-
izing a nonlinear mapping which transforms a sum of random variables.
The method provides a surprisingly good approximation even when the
basic assumption is not fully satis¯ed. The method can been used success-
fully for initializing nonlinearity in post-nonlinear mixtures or in Wiener
system inversion, for improving algorithm speed and convergence. |
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Materia(s):
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-Xarxes neuronals (Informàtica) |
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Derechos:
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(c) Springer (The original publication is available at www.springerlink.com)
Tots els drets reservats
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Tipo de documento:
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Objeto de conferencia |
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Editor:
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Springer
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Compartir:
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