Parameters: |
- noise_cov : Covariance
The noise covariance.
- info : dict
The measurement info.
- picks : array-like of int | None
The channels indices to include. If None the MEG and EEG
channels in info, except bad channels, are used.
- rank : None | int | dict
Specified rank of the noise covariance matrix. If None, the rank is
detected automatically. If int, the rank is specified for the MEG
channels. A dictionary with entries ‘eeg’ and/or ‘meg’ can be used
to specify the rank for each modality.
- scalings : dict | None
The rescaling method to be applied. See documentation of
prepare_noise_cov for details.
- return_rank : bool
If True, return the rank used to compute the whitener.
- verbose : bool, str, int, or None
If not None, override default verbose level (see mne.verbose()
and Logging documentation for more).
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