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Parallel multichannel blind source separation using a spatial covariance model and nonnegative matrix factorization

dc.contributor.authorMuñoz Montoro, Antonio Jesús 
dc.contributor.authorCarabias Orti, J. J.
dc.contributor.authorCortina Parajón, Raquel 
dc.contributor.authorGarcía Galán, S.
dc.contributor.authorRanilla Pastor, José 
dc.date.accessioned2021-11-09T07:32:55Z
dc.date.available2021-11-09T07:32:55Z
dc.date.issued2021
dc.identifier.citationJournal of Supercomputing, 77, p. 12143-12156 (2021); doi:10.1007/s11227-021-03771-y
dc.identifier.issn0920-8542
dc.identifier.urihttp://hdl.handle.net/10651/60867
dc.description.sponsorshipThis work was supported by the Regional Ministry of the Principality of Asturias under grant FC-GRUPIN-IDI/2018/000226, by the Ministry of Economy, Knowledge and University of the Government of the “Junta de Andalucía” under project P18-RT-1994, by the “Programa Operativo FEDER Andalucía 2014-2020” under project with reference 1257914, and by Pre-doctoral Fellowship Program from the “Ministerio de Ciencia, Innovación y Universidades” of Spain under the reference BES-2016-078512.
dc.format.extentp. 12143-12156
dc.language.isoeng
dc.relation.ispartofJournal of Supercomputing
dc.rights© The authors, under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021
dc.rightsCC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85103681372&doi=10.1007%2fs11227-021-03771-y&partnerID=40&md5=504be438399494def17d71dc50e8aa93
dc.titleParallel multichannel blind source separation using a spatial covariance model and nonnegative matrix factorization
dc.typejournal article
dc.identifier.doi10.1007/s11227-021-03771-y
dc.relation.projectIDFC-GRUPIN-IDI/2018/000226
dc.relation.projectIDMICIU/BES-2016-078512
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s11227-021-03771-y
dc.rights.accessRightsopen access
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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© The authors, under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021
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