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
#
Source reconstruction using an LCMV beamformer
Source reconstruction using an LCMV beamformer
Compute evoked ERS source power using DICS, LCMV beamformer, and dSPM
Compute evoked ERS source power using DICS, LCMV beamformer, and dSPM