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