A Rao-Blackwellized particle filter for the tracking of neural sources from biomagnetic data is described. A comparison with a Sampling Importance Re-sampling 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
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Campi et al. (2008) studied this question.
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