Temporal and Spatial Prewhitening of Multi-Channel MEG Data

In this paper we present a prewhitening strategy to decorrelate the noise in space and in time. We discuss in detail how the effects of the filtering can be seen in the singular value decomposition of the data and we demonstrate how the approach can be used with an objective, statistical signal subspace estimation algorithm.