dc.contributor |
Universitat de Vic. Escola Politècnica Superior |
dc.contributor |
Universitat de Vic. Grup de Recerca en Tecnologies Digitals |
dc.contributor |
International Work-Conference on Artificial and Natural Neural Networks (7a : 2003 : Maó, Menorca, Illes Balears) |
dc.contributor.author |
Solé-Casals, Jordi |
dc.contributor.author |
Jutten, Christian |
dc.contributor.author |
Pham, Dinh-Tuan |
dc.date |
2003 |
dc.identifier |
SOLÉ CASALS, J., JUTTEN, C. and PHAM, D.T., 2003. Initialisation of nonlinearities for PNL and Wiener systems inversion, J. MIRA and J.R. ALVAREZ, eds. In: Artificial Neural Nets Problem Solving Methods, Pt Ii; LECTURE NOTES IN COMPUTER SCIENCE; 7th International Work Conference on Artificial and Natural Neural Networks, JUN 03-06, 2003 2003, SPRINGER-VERLAG BERLIN, pp. 225-232. |
dc.identifier |
354040211X |
dc.identifier |
http://hdl.handle.net/10854/2091 |
dc.identifier.uri |
http://hdl.handle.net/10854/2091 |
dc.description |
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. |
dc.format |
application/pdf |
dc.language |
eng |
dc.publisher |
Springer |
dc.relation |
http://link.springer.com/chapter/10.1007/3-540-44869-1_29 |
dc.rights |
(c) Springer (The original publication is available at www.springerlink.com) |
dc.rights |
Tots els drets reservats |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.subject |
Xarxes neuronals (Informàtica) |
dc.title |
Initialisation of Nonlinearities for PNL and Wiener systems Inversion |
dc.type |
info:eu-repo/semantics/conferenceObject |