code: def apply_lcmv_cov(data_cov, filters, verbose=None):
      """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_cov : instance of Covariance
          Data covariance matrix.
      filters : instance of Beamformer
          LCMV spatial filter (beamformer weights).
          Filter weights returned from :func:`make_lcmv`.
      %(verbose)s
  
      Returns
      -------
      stc : SourceEstimate | VolSourceEstimate
          Source power.
  
      See Also
      --------
      make_lcmv, apply_lcmv, apply_lcmv_epochs, apply_lcmv_raw
      """
      sel = _check_channels_spatial_filter(data_cov.ch_names, filters)
      sel_names = [data_cov.ch_names[ii] for ii in sel]
      data_cov = pick_channels_cov(data_cov, sel_names)
  
      n_orient = filters["weights"].shape[0] // filters["n_sources"]
      # Need to project and whiten along both dimensions
      data = _proj_whiten_data(
          data_cov["data"].T, data_cov["projs"], filters
      )
      data = _proj_whiten_data(data.T, data_cov["projs"], filters)
      del data_cov
      source_power = _compute_power(data, filters["weights"], n_orient)
  
      # compatibility with 0.16, add src_type as None if not present:
      filters, warn_text = _check_src_type(filters)
  
      return _make_stc(
          source_power,
          vertices=filters["vertices"],
          src_type=filters["src_type"],
          tmin=0.0,
          tstep=1.0,
          subject=filters["subject"],
          source_nn=filters["source_nn"],
          warn_text=warn_text,
      )
  
file_path: mne-python/mne/beamformer/_lcmv.py
imports: import numpy
  from .._fiff.meas_info import _simplify_info
  from .._fiff.pick import pick_channels_cov, pick_info
  from ..forward import _subject_from_forward
  from ..minimum_norm.inverse import _check_depth, _check_reference, combine_xyz
  from ..rank import compute_rank
  from ..source_estimate import _get_src_type, _make_stc
  from ..utils import _check_channels_spatial_filter, _check_info_inv, _check_one_ch_type, logger, verbose
  from ._compute_beamformer import Beamformer, _check_src_type, _compute_beamformer, _compute_power, _prepare_beamformer_input, _proj_whiten_data
label_desc: Use image node_id 6 for calling a global function with example usage: apply_lcmv_cov(data_cov, filters, verbose) and returns: _make_stc