Table 1.
A list of resources providing entropy analysis tools.
Table 2.
List of base, cross, bidimensional, multiscale and multiscale cross-entropy functions available in version 0.1 of the EntropyHub toolkit.
Fig 1.
Representative plot of the multiscale entropy curve returned by any Multiscale or Multiscale Cross entropy function.
The curve shown corresponds to multiscale bubble entropy of a Gaussian white noise signal (N = 5000, μ = 0, σ = 1), calculated over 5 coarse-grained time scales, with estimator parameters: embedding dimension (m) = 2, time delay (τ) = 1.
Fig 2.
Second-order difference plot returned by the phase entropy function (PhasEn).
Representative second-order difference plot of the x-component of the Henon set of equations (α = 1.4, β = 0.3), calculated with a time-delay (τ) = 2 and partitions (K) = 9.
Fig 3.
Poincaré plot and bivariate histogram returned by the gridded distribution entropy function (GridEn).
Representative Pioncaré plot and bivariate histogram of the x-component of the Lorenz system of equations (σ = 10, β = 8/3, ρ = 28), calculated with grid partitions (m) = 5 and a time-delay (τ) = 2.
Fig 4.
Sample datasets available with the EntropyHub toolkit through the ExampleData function.
(a) A gaussian white noise time series, (b) the Lorenz system of equations, (c) a Mandelbrot fractal.
Table 3.
List of resources for the EntropyHub toolkit.