Beamforming Using Support Vector Machines

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dc.contributor.author Martínez-Ramón, Manel
dc.contributor.author Xu, Nan
dc.contributor.author Christodoulou, Christos G.
dc.date.accessioned 2011-06-29T11:53:56Z
dc.date.accessioned 2011-06-30T10:01:28Z
dc.date.available 2011-06-29T11:53:56Z
dc.date.available 2011-06-30T10:01:28Z
dc.date.issued 2005-12
dc.identifier.bibliographicCitation M. Martinez Ramón, N. Xu, C. Christodoulou, "Beamforming Using Support Vector Machines", IEEE Antenas and Wireless Propagation Letters, Vol. 4, pp. 439-442, Dec. 2005.
dc.identifier.issn 1536-1225
dc.identifier.uri http://hdl.handle.net/10016/11653
dc.description.abstract Support vector machines (SVMs) have improved generalization performance over other classical optimization techniques. Here, we introduce an SVM-based approach for linear array processing and beamforming. The development of a modified cost function is presented and it is shown how it can be applied to the problem of linear beamforming. Finally, comparison examples are included to show the validity of the new minimization approach.
dc.format.mimetype application/pdf
dc.format.mimetype text/plain
dc.language.iso eng
dc.publisher IEEE
dc.rights © IEEE
dc.subject.other Beamforming
dc.subject.other SVM
dc.subject.other Complex support vector machines
dc.title Beamforming Using Support Vector Machines
dc.type article
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1109/LAWP.2005.860196
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi 10.1109/LAWP.2005.860196
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 439
dc.identifier.publicationlastpage 442
dc.identifier.publicationtitle IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
dc.identifier.publicationvolume 4
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