mne.beamformer.apply_lcmv_cov#
- mne.beamformer.apply_lcmv_cov(data_cov, filters, verbose=None)[source]#
Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights.
Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights to a data covariance matrix to estimate source power.
- Parameters:
- data_covinstance of
Covariance
Data covariance matrix.
- filtersinstance of
Beamformer
LCMV spatial filter (beamformer weights). Filter weights returned from
make_lcmv()
.- verbose
bool
|str
|int
|None
Control verbosity of the logging output. If
None
, use the default verbosity level. See the logging documentation andmne.verbose()
for details. Should only be passed as a keyword argument.
- data_covinstance of
- Returns:
- stc
SourceEstimate
|VolSourceEstimate
Source power.
- stc
See also
Examples using mne.beamformer.apply_lcmv_cov
#
Compute evoked ERS source power using DICS, LCMV beamformer, and dSPM
Compute evoked ERS source power using DICS, LCMV beamformer, and dSPM