FT_CONNECTIVITY_CSD2TRANSFER

Note that this reference documentation is identical to the help that is displayed in Matlab when you type “help ft_connectivity_csd2transfer”.

  CSD2TRANSFER computes the transfer-function from frequency domain data
  using the Wilson-Burg algorithm. The transfer function can be used for
  the computation of directional measures of connectivity, such as granger
  causality, partial directed coherence, or directed transfer functions
 
  Use as
    [output] = ft_connectivity_csd2transfer(freq, varargin)
 
  Where freq is a data structure containing frequency domain data containing
  the cross-spectral density computed between all pairs of channels, thus
  containing a 'dimord' of 'chan_chan_freq(_time)'.
 
  Configurable options come in key-value pairs:
 
    numiteration = scalar value (default: 100) the number of iterations
    channelcmb   = Nx2 cell-array listing the channel pairs for the spectral
                     factorization. If not defined or empty (default), a
                     full multivariate factorization is performed, otherwise
                     a multiple pairwise factorization is done.
    tol          = scalar value (default: 1e-18) tolerance limit truncating
                     the iterations
 
  The code for the Wilson-Burg algorithm has been very generously provided by 
  Dr. Mukesh Dhamala, and Prof. Mingzhou Ding and his group. 
 
  If you use this code for studying directed interactions, please cite from
  the following references:
  -M.Dhamala, R.Rangarajan, M.Ding, Physical Review Letters 100, 018701 (2008)
  -M.Dhamala, R.rangarajan, M.Ding, Neuroimage 41, 354 (2008)

reference/ft_connectivity_csd2transfer.txt · Last modified: 2012/05/23 23:02 (external edit)

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