Permutation Entropy: Too Complex a Measure for EEG Time Series?. Berger, S., Schneider, G., Kochs, E. F., & Jordan, D. Entropy, 19(12):692, 2017.
Permutation Entropy: Too Complex a Measure for EEG Time Series? [link]Link  Permutation Entropy: Too Complex a Measure for EEG Time Series? [link]Paper  bibtex   
@article{journals/entropy/BergerSKJ17,
  added-at = {2020-10-26T00:00:00.000+0100},
  author = {Berger, Sebastian and Schneider, Gerhard and Kochs, Eberhard F. and Jordan, Denis},
  biburl = {https://www.bibsonomy.org/bibtex/29f501cbe2c50865d7b21cd8785eea99b/dblp},
  ee = {https://doi.org/10.3390/e19120692},
  interhash = {965ebbde6bac765c3925e7549c3c7387},
  intrahash = {9f501cbe2c50865d7b21cd8785eea99b},
  journal = {Entropy},
  keywords = {dblp},
  number = 12,
  pages = 692,
  timestamp = {2020-10-27T12:46:48.000+0100},
  title = {Permutation Entropy: Too Complex a Measure for EEG Time Series?},
  url = {http://dblp.uni-trier.de/db/journals/entropy/entropy19.html#BergerSKJ17},
  volume = 19,
  year = 2017
}

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