Investigation of a two-point maximum entropy regularization method for signal enhancement applied to magnetoencephalography data

Abstract

A two-point maximum entropy method (TPMEM) was investigated for post-acquisition signal recovery in magnetoencephalography (MEG) data, as a potential replacement of a low-pass (LP) filtering technique currently in use. We first applied TPMEM and the LP filter for signal recovery of synthetically noise corrupted MEG ‘‘phantom’’ data sets in which the true… (More)
DOI: 10.1016/j.bspc.2007.09.004

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