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A Fast Gradient Approximation for Nonlinear Blind Signal Processing

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dc.contributor Universitat de Vic. Escola Politècnica Superior
dc.contributor Universitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributor.author Solé-Casals, Jordi
dc.contributor.author Caiafa, Cesar F.
dc.date.accessioned 2014-01-08T13:40:28Z
dc.date.available 2015-01-09T00:01:34Z
dc.date.created 2013
dc.date.issued 2013
dc.identifier.citation Solé-Casals, Jordi ; Caiafa, Cesar F. "A Fast Gradient Approximation for Nonlinear Blind Signal Processing" A: Cognitive Computation, 5(4) 483-492 ca_ES
dc.identifier.issn 1866-9956
dc.identifier.uri http://hdl.handle.net/10854/2603
dc.description.abstract When dealing with nonlinear blind processing algorithms (deconvolution or post-nonlinear source separation), complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing, spike signals deconvolution or microarray data analysis. In this paper, we propose a simple method to reduce computational time for the inversion of Wiener systems or the separation of post-nonlinear mixtures, by using a linear approximation in a minimum mutual information algorithm. Simulation results demonstrate that linear spline interpolation is fast and accurate, obtaining very good results (similar to those obtained without approximation) while computational time is dramatically decreased. On the other hand, cubic spline interpolation also obtains similar good results, but due to its intrinsic complexity, the global algorithm is much more slow and hence not useful for our purpose. en
dc.format application/pdf
dc.format.extent 15 p. ca_ES
dc.language.iso eng
dc.publisher Springer ca_ES
dc.rights (c) Springer (The original publication is available at www.springerlink.com)
dc.rights Tots els drets reservats ca_ES
dc.subject.other Tractament del senyal ca_ES
dc.title A Fast Gradient Approximation for Nonlinear Blind Signal Processing en
dc.type info:eu-repo/semantics/article ca_ES
dc.embargo.terms 12 mesos ca_ES
dc.identifier.doi https://doi.org/10.1007/s12559-012-9192-x
dc.relation.publisherversion http://link.springer.com/article/10.1007%2Fs12559-012-9192-x#
dc.rights.accesRights info:eu-repo/semantics/openAccess ca_ES
dc.type.version info:eu-repo/acceptedVersion ca_ES
dc.indexacio Indexat a SCOPUS
dc.indexacio Indexat a WOS/JCR ca_ES

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