Example 5: Multiscale Entropy Object [MSobject()]ΒΆ

Create a multiscale entropy object (Mobj) for multiscale fuzzy entropy, calculated with an embedding dimension (m) of 5, a time delay (tau) of 2, using a sigmoidal fuzzy function with the r scaling parameters (3, 1.2).

Mobj = EH.MSobject('FuzzEn', m = 5, tau = 2, Fx = 'sigmoid', r = (3, 1.2));
Mobj.Func

>>> <function EntropyHub._FuzzEn.FuzzEn(Sig, m=2, tau=1, r=(0.2, 2), Fx='default', Logx=2.71828)>

Mobj.Kwargs

>>> {'m': 5, 'tau': 2, 'Fx': 'sigmoid', 'r': (3, 1.2)}

Create a multiscale entropy object (Mobj) for multiscale corrected-cross-conditional entropy, calculated with an embedding dimension of 6 and using a 11-symbolic data transform.

Mobj = EH.MSobject('XCondEn', m = 6, c = 11)

Mobj.Func
>>> <function EntropyHub._XCondEn.XCondEn(Sig, m=2, tau=1, c=6, Logx=2.71828, Norm=False)>

Mobj.Kwargs
>>> {'m': 6, 'c': 11}