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)
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