Permutation Entropy: Too Complex a Measure for EEG Time Series?. Berger, S., Schneider, G., Kochs, E. F., & Jordan, D. Entropy, 19(12):692, 2017.
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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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