mne.
compute_raw_covariance
(raw, tmin=None, tmax=None, tstep=0.2, reject=None, flat=None, picks=None, verbose=None)¶Estimate noise covariance matrix from a continuous segment of raw data.
It is typically useful to estimate a noise covariance from empty room data or time intervals before starting the stimulation.
Note: To speed up the computation you should consider preloading raw data by setting preload=True when reading the Raw data.
Parameters: | raw : instance of Raw
tmin : float | None (default None)
tmax : float | None (default None)
tstep : float (default 0.2)
reject : dict | None (default None)
flat : dict | None (default None)
picks : array-like of int | None (default None)
verbose : bool | str | int | None (default None)
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Returns: | cov : instance of Covariance
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See also
compute_covariance