mne.make_ad_hoc_cov¶
- mne.make_ad_hoc_cov(info, std=None, verbose=None)[source]¶
Create an ad hoc noise covariance.
- Parameters
- infoinstance of
Info Measurement info.
- std
dictoffloat|None Standard_deviation of the diagonal elements. If dict, keys should be
'grad'for gradiometers,'mag'for magnetometers and'eeg'for EEG channels. If None, default values will be used (see Notes).- verbosebool,
str,int, orNone If not None, override default verbose level (see
mne.verbose()and Logging documentation for more). If used, it should be passed as a keyword-argument only.
- infoinstance of
- Returns
- covinstance of
Covariance The ad hoc diagonal noise covariance for the M/EEG data channels.
- covinstance of
Notes
The default noise values are 5 fT/cm, 20 fT, and 0.2 µV for gradiometers, magnetometers, and EEG channels respectively.
New in version 0.9.0.
