func_FE_RenyiEn

This function calculates Renyi Entropy

% This function calculates Renyi Entropy based on the following algorithm

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% - The number of n intervals of the signal is selected.

% - The width of each interval is calculated from the formula (xmax-xmin)/n.

% - The number of points of the signal that are placed in each interval is counted: Ni i = 1: n

% - Probability pi = Ni / N is calculated.

% - Shannon entropy is calculated using the formula H=(1/(1-alpha))log2(sum(pi^alpha)) i=1->n.

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% Input parameters:

% - signal: Input signal must be a vector with dimension N

% - n: number of devision

% - alpha: the order of the entropy measure

% Output:

% - RenyiEn: Renyi entropy value

% Author: Golnaz Baghdadi

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