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Chunk #250 — 3 Inverse solutions — 3.2 Parametric methods — 3.2.4 Subspace techniques — Multiple-signal Classification algorithm (MUSIC)

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Review on solving the inverse problem in EEG source analysis.
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In MUSIC, errors in the estimate of the signal subspace can make localization of multiple sources difficult (subjective) as regards distinguishing between 'true' and 'false' peaks. Moreover, finding several local maxima in the MUSIC metric becomes difficult as the dimension of the source space increases. Problems also arise when the subspace correlation is computed at only a finite set of grid points.