Estimation of propagating dipole sources by EEG/MEG sensor arrays

We derive a generalized least squares (GLS) method for estimating propagating dipole sources using electroencephalography (EEG) and magnetoencephalography (MEG) sensor arrays. The dipole locations vary in time according to a parametric model, whereas their moments vary arbitrarily from one time point to another. We also derive the Cramer-Rao bound for the trajectory parameters. We then extend the above method to account for unknown spatially correlated noise.