Description Usage Arguments Value References Examples
This function calculates fluctuation-based dispersion entropy (FDispEn) of a univariate signal x, using different mapping approaches (MA)
1 |
x |
a univariate signal (vector) |
ma |
the mapping approach, possible values are:
|
m |
the embedding dimension |
nc |
the number of classes (it is usually equal to a number between 3 and 9, we use 6 by default) |
tau |
the time lag (it is usually equal to 1) |
mu |
an optional defined mean (the observed mean by default) |
sigma |
an option defined std-deviation (the observed std-deviation by default) |
a named list:
fdisp.en
: the Fluctuation-Based Dispersion Entropy value of the signal x
pdf
: a vector of length nc^m, showing the normalized number of dispersion patterns of x
Azami H, Entropy JE, (2018) "Amplitude-and Fluctuation-Based Dispersion Entropy". Entropy 20:210.
Rostaghi M, Letters HAISP, (2016) "Dispersion entropy: A measure for time-series analysis". IEEE Signal Processing Letters. vol. 23, n. 5, pp. 610-614, 2016.
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