mne_connectivity.symmetric_orth(data, *, n_iter=50, tol=1e-06, verbose=None)[source]#

Perform symmetric orthogonalization.

Uses the method from 1 to jointly orthogonalize the time series.


data : ndarray, shape ([n_epochs, ]n_signals, n_times) or generator

The data to process. If a generator, it must return 2D arrays to process.

n_iter : int

The maximum number of iterations to perform.

tol : float

The relative tolerance for convergence.

verbose : bool | str | int | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.


data_orth : ndarray, shape (n_epochs, n_signals, n_times) | generator

The orthogonalized data. If data is a generator, a generator is returned.



G. L. Colclough, M. J. Brookes, S. M. Smith, and M. W. Woolrich. A symmetric multivariate leakage correction for MEG connectomes. NeuroImage, 117:439–448, August 2015. doi:10.1016/j.neuroimage.2015.03.071.

Examples using mne_connectivity.symmetric_orth#