pyeeg.preprocess.covariances_extended

pyeeg.preprocess.covariances_extended(X, P, estimator='cov')

Special form covariance matrix where data are appended with another set. For instance, the data could be EEG data and the other set could be a set of idealised response (e.g. a clean ERP).

Notes

This assumes that the data are of shape (trials, samples, channels) and that the other set is of shape (samples, channels). The second set is typically an idealised response from the average across trials. The function could however also be called on a single trial, for continuous recordings for instance. In that case, the method used is to extend the data with the a dummy dimmension for the trials and for P convolve the idealise response to singular event with a series of impulses at the times of those events.