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Generalized matched subspace filter for dependent noise based on ICA

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Generalized matched subspace filter for dependent noise based on ICA

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Moragues Escrivá, J.; Vergara Domínguez, L.; Gosálbez Castillo, J. (2011). Generalized matched subspace filter for dependent noise based on ICA. IEEE Transactions on Signal Processing. 59(7):3430-3434. https://doi.org/10.1109/TSP.2011.2141668

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/56142

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Title: Generalized matched subspace filter for dependent noise based on ICA
Author: Moragues Escrivá, Jorge Vergara Domínguez, Luís Gosálbez Castillo, Jorge
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
We propose a generalization of the matched subspace filter for the detection of unknown signals in a background of non-Gaussian and nonindependent noise. The generalization is based on a modification of the Rao test by ...[+]
Subjects: Independent component analysis (ICA) , Matched subspace filter , Non-Gaussian noise , Rao test , Generalized solution , Matched subspace filters , Non-Gaussian , Receiver operating characteristic curves , Gaussian noise (electronic) , Linear transformations , Matched filters , Independent component analysis
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Signal Processing. (issn: 1053-587X )
DOI: 10.1109/TSP.2011.2141668
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Publisher version: http://dx.doi.org/10.1109/TSP.2011.2141668
Project ID:
info:eu-repo/grantAgreement/MICINN//TEC2008-02975/ES/PROCESADOR NO-LINEAL DE MEZCLAS CON APLICACION EN DETECCION, CLASIFICACION, FILTRADO Y PREDICCION/
info:eu-repo/grantAgreement/GVA//PROMETEO%2F2010%2F040/
Thanks:
This work has been supported by the Spanish Administration and the FEDER Programme of the EC under Grant TEC 2008-02975; and by the Generalitat Valenciana under Grant PROMETEO/2010/040.
Type: Artículo

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