A Rao-Blackwellized particle filter for the tracking of neural sources from biomagnetic data is described. A comparison with a sampling importance resampling particle filter performed in the case of both simulated and real data shows that the use of Rao-Blackwellization is highly recommended since it produces more accurate reconstructions within a lower computational effort.

A Rao-Blackwellized particle filter for magnetoencephalography

PASCARELLA, Annalisa;PIANA, Michele
2008-01-01

Abstract

A Rao-Blackwellized particle filter for the tracking of neural sources from biomagnetic data is described. A comparison with a sampling importance resampling particle filter performed in the case of both simulated and real data shows that the use of Rao-Blackwellization is highly recommended since it produces more accurate reconstructions within a lower computational effort.
2008
magnetoencephalography; Bayesian tracking; particle filters
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/319739
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