Blind source separation in the presence of weak source

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dc.creatorNadal, J. -P.
dc.creatorKorutcheva, E.
dc.creatorAires, F.
dc.date2000-05-16
dc.date.accessioned2026-07-07T02:37:39Z
dc.date.available2026-07-07T02:37:39Z
dc.descriptionWe investigate the information processing of a linear mixture of independent sources of different magnitudes. In particular we consider the case where a number $m$ of the sources can be considered as ``strong'' as compared to the other ones, the ``weak'' sources. We find that it is preferable to perform blind source separation in the space spanned by the strong sources, and that this can be easily done by first projecting the signal onto the $m$ largest principal components. We illustrate the analytical results with numerical simulations.
dc.descriptionAccepted for publication in Neural Networks
dc.identifierhttps://arxiv.org/abs/cond-mat/0005258
dc.identifierhttp://arxiv.org/abs/cond-mat/0005258
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/16372
dc.subjectStatistical Mechanics
dc.subjectDisordered Systems and Neural Networks
dc.titleBlind source separation in the presence of weak source
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