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dc.contributor.author
Caiafa, Cesar Federico  
dc.contributor.author
Sole-Casals, Jordi  
dc.date.available
2016-02-05T20:23:25Z  
dc.date.issued
2013-12  
dc.identifier.citation
Caiafa, Cesar Federico; Sole-Casals, Jordi ; A fast gradient approximation for nonlinear blind signal processing; Springer; Cognitive Computation; 5; 4; 12-2013; 483-492  
dc.identifier.issn
1866-9964  
dc.identifier.uri
http://hdl.handle.net/11336/4091  
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 intrinsically complexity the global algorithm is much more slow and hence not useful for our purpose.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Blind Deconvolution  
dc.subject
Blind Source Separation  
dc.subject
Minimum Mutual Information Methods  
dc.subject
Wiener Systems  
dc.subject.classification
Ciencias de la Información y Bioinformática  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
A fast gradient approximation for nonlinear blind signal processing  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2016-03-30 10:35:44.97925-03  
dc.journal.volume
5  
dc.journal.number
4  
dc.journal.pagination
483-492  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Nueva York  
dc.description.fil
Fil: Caiafa, Cesar Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Conicet - la Plata. Instituto Argentino de Radioastronomia (i); Argentina  
dc.description.fil
Fil: Sole-Casals, Jordi. Universidad de Vic; España  
dc.journal.title
Cognitive Computation  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/10.1007/s12559-012-9192-x  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s12559-012-9192-x  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s12559-012-9192-x