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().
- verbosebool | str|int|None
- Control verbosity of the logging output. If - None, use the default verbosity level. See the logging documentation and- mne.verbose()for details. Should only be passed as a keyword argument.
 
- data_covinstance of 
- Returns:
- stcSourceEstimate|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