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Título:
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Fast Approximation of Nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems
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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 |
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Notas:
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This paper proposes a very fast method for blindly approximating a nonlinear mapping
which transforms a sum of random variables. The estimation is surprisingly
good even when the basic assumption is not satisfied.We use the method for providing
a good initialization for inverting post-nonlinear mixtures and Wiener systems.
Experiments show that the algorithm speed is strongly improved and the asymptotic
performance is preserved with a very low extra computational cost. |
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Materia(s):
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-Robòtica
-Control automàtic |
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Derechos:
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(c) Elsevier, 2005
Tots els drets reservats
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Tipo de documento:
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Artículo
info:eu-repo/acceptedVersion |
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Editor:
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Elsevier
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Compartir:
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