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Permutation Entropy: Too Complex a Measure for EEG Time Series?

Sebastian Berger, Gerhard Schneider, Eberhard F. Kochs and Denis Jordan

Entropy 2017, 19(12), 692; doi:10.3390/e19120692

http://www.mdpi.com/1099-4300/19/12/692

Supplementary Code

This is the supplementary GNU Octave/MATLAB code to the above open-access publication. Use it to reproduce the results presented. To get started, see the comment section of the analyse.m script.

The code may also be useful for other applications. In particular, consider the functions:

  • import_edf.m
  • symbolise.m
  • zztop.m

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GNU Octave/MATLAB code supplementing the journal article "Permutation Entropy: Too Complex a Measure for EEG Time Series?" (Entropy 2017, 19, 692)

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