Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help beamformer_pcc”.

  BEAMFORMER_PCC implements an experimental beamformer based on partial
  canonical correlations or coherences. Dipole locations that are outside
  the head will return a NaN value.
 
  Use as
    [dipout] = beamformer_pcc(dipin, grad, headmodel, dat, cov, ...)
  where
    dipin       is the input dipole model
    grad        is the gradiometer definition
    headmodel   is the volume conductor definition
    dat         is the data matrix with the ERP or ERF
    cov         is the data covariance or cross-spectral density matrix
  and
    dipout      is the resulting dipole model with all details
 
  The input dipole model consists of
    dipin.pos   positions for dipole, e.g. regular grid, Npositions x 3
    dipin.mom   dipole orientation (optional), 3 x Npositions
  and can additionally contain things like a precomputed filter.
 
  Additional options should be specified in key-value pairs and can be
    refchan
    refdip
    supchan
    supdip
    reducerank
    normalize
    normalizeparam
    feedback
    keepcsd
    keepfilter
    keepleadfield
    keepmom
    lambda
    projectnoise
    realfilter
    fixedori