Measure Renyi information.
R=renyi(TFR) R=renyi(TFR,T) R=renyi(TFR,T,F) R=renyi(TFR,T,F,ALPHA)
(M,N) 2-D density function (or mass function). Eventually TFR can be a time-frequency representation, in which case its first row must correspond to the lower frequencies
abscissa vector parametrizing the TFR matrix. T can be a non-uniform sampled vector (eventually a time vector)(default : (1:N)).
ordinate vector parametrizing the TFR matrix. F can be a non-uniform sampled vector (eventually a frequency vector) (default : (1:M)).
rank of the Renyi measure (default : 3).
the alpha-rank Renyi measure (in bits if TFR is a time-frequency matrix) : R=log2[Sum[TFR(Fi,Ti)^ALPHA dFi.dTi]/(1-ALPHA)]
renyi measures the Renyi information relative to a 2-D density function TFR (which can be eventually a TF representation).