Estimate the Holder exponent through an affine TFR.
H=holder(TFR,F) H=holder(TFR,F,N1) H=holder(TFR,F,N1,N2) H=holder(TFR,F,N1,N2,T) H=holder(...'plot')
a M by N array of doubles: the affine time-frequency representation.
a real vector of size M with elements in ]0 0.5]: the frequency values of the spectral analysis.
an integer value in [1 M]: the indice of the minimum frequency for the linear regression. (default : 1).
an integer value in [1 M]: the indice of the maximum frequency for the linear regression. (default : M).
a vector of integer values in [1 N]: the time vector. If T is omitted, the function returns the global estimate of the Holder exponent. Otherwise, it returns the local estimates H(T) at the instants specified in T.
a real scalar if T omitted or a real column vector: the Holder estimate(s).
holder estimates the Holder exponent of a function through an affine time-frequency representation of it, and plots the frequency marginal and the regression line.
S=altes(128); [TFR,T,F]=tfrscalo(S,1:128,8,0.01,0.35,128); H=holder(TFR,F,1,length(F),1:128); clf;plot(H) | ![]() | ![]() |