Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/10854/2091

Initialisation of Nonlinearities for PNL and Wiener systems Inversion
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)
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.
Xarxes neuronals (Informàtica)
(c) Springer (The original publication is available at www.springerlink.com)
Tots els drets reservats
info:eu-repo/semantics/conferenceObject
Springer
         

Documentos con el texto completo de este documento

Ficheros Tamaño Formato Vista
artconlli_a2003 ... isation_nonlinearities.pdf 515.4 KB application/pdf Vista/Abrir

Mostrar el registro completo del ítem