Local motifs in a binary symbolization of the time series from software package hctsa
Coarse-graining is performed. Time-series values above its mean are given 1, and those below the mean are 0.
motiftwo_entro3(y)
y |
the input time series |
Entropy of words in the binary alphabet of length 3.
Yangzhuoran Yang
B.D. Fulcher and N.S. Jones. hctsa: A computational framework for automated time-series phenotyping using massive feature extraction. Cell Systems 5, 527 (2017).
B.D. Fulcher, M.A. Little, N.S. Jones Highly comparative time-series analysis: the empirical structure of time series and their methods. J. Roy. Soc. Interface 10, 83 (2013).
motiftwo_entro3(WWWusage)
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