pyeeg.preprocess.covariances

pyeeg.preprocess.covariances(X, estimator='cov')

Estimation of covariance matrices from a list of “trials”.

Parameters:

• X (array-like (ntrials, nsamples, nchannels) or list) – If list, each element can also have different number of samples, but the number of channels must be the same for all trials.

• estimator (str) – One of covariance estimator from sklearn. See also _check_est().

Returns:

C – The list of covariance matrices for each trial.

Return type:

array-like (ntrials, nchannels, nchannels)