资源简介
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
代码片段和文件信息
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/
%%用相关系数来度量r
data =a;
N=length(data);
% for m=n:n+1; % run it twice
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