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demo7

PURPOSE ^

Demo7 - MULTIVARIATE AUTOREGRESSIVE Analysis:

SYNOPSIS ^

function y = demo7(arg1)

DESCRIPTION ^

 Demo7 - MULTIVARIATE AUTOREGRESSIVE Analysis: 

      1) Simulates a MVAR process
      2) Estimatess MVAR parameters
      3) Displays the PDC for the original parameters and its estimates

   demo7(k)
       k       if k is a skalar between 1 to 5: use simulation k from Baccala et al. [1] 
   demo7(eeg)
       demonstrates the simulation of Kus et al. [3]        

 see also: BACCALA2001, MVAR, MVFILTER, PLOTA, demo/demo7

 Reference(s):
  [1] Baccala LA, Sameshima K. (2001)
       Partial directed coherence: a new concept in neural structure determination.
       Biol Cybern. 2001 Jun;84(6):463-74.
  [2] M. Kaminski, M. Ding, W. Truccolo, S.L. Bressler, Evaluating causal realations in neural systems:
    Granger causality, directed transfer functions and statistical assessment of significance.
    Biol. Cybern., 85,145-157 (2001)
  [3] R. Kus, M. Kaminski, K.J.Blinowska, Determination of EEG Activity Propagation -
       Pairwise vs. Multichannel Estimate. IEEE Trans. Biomedical
       Engineering 51(9) 1501-1510 (Sep 2004);
  [4] http://biosig.sf.net/

CROSS-REFERENCE INFORMATION ^

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