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Code for computing approximate entropy for a time series: Approximate Entropy is a measure of complexity. It quantifies the unpredictability of fluctuations in a time series
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function?apen?=?Fuzzy_entropy_bbd(nra)
%%?Code?for?computing?approximate?entropy?for?a?time?series:?Approximate
%?Entropy?is?a?measure?of?complexity.?It?quantifies?the?unpredictability?of
%?fluctuations?in?a?time?series
%?To?run?this?function-?type:?approx_entropy(‘window?length‘‘similarity?measure‘‘data?set‘)
%?i.e??approx_entropy(50.5a)
%?window?length=?length?of?the?window?which?should?be?considered?in?each?iteration
%?similarity?measure?=?measure?of?distance?between?the?elements
%?data?set?=?data?vector
%?small?values?of?apen?(approx?entropy)?means?data?is?predictable?whereas
%?higher?values?mean?that?data?is?unpredictable
%?concept?boorowed?from?http://www.physionet.org/physiotools/ApEn/
%?Author:?Avinash?Parnandi?parnandi@usc.edu?http://robotics.usc.edu/~parnandi/
%%用相關(guān)系數(shù)來度量r
data?=a;
N=length(data);
%?for?m=n:n+1;?%?run?it?twice
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