entropy of a signal
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Hello every body . Please give me command for entropy calculation of a signal. How we can calculate using wentropy function in wavelet? Thanks in advance .
2 Kommentare
divya pawar
am 23 Feb. 2020
The entropy function given in Matlab is for image processing, so for other signals simply the formula
entropy= -sum(p*log2(p));
If probabilities are not known , you can use histogram to find them
h1=histogram(your_signal, 'Normalization', 'Probability');
h1.Values;
Antworten (2)
maria
am 25 Sep. 2012
Hi! For find the value of entropy for a signal 1-dimensional, can use:
p = hist(signal length);
entropy = -sum(p.*log2(p));
Do this solve your question?
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dany katamba mpoyi
am 4 Mai 2022
I = randn(10000000,1);
p = hist(I,1000000);
% remove zero entries in p
p(p==0) = [];
% normalize p so that sum(p) is one.
p = p ./ numel(I);
Eg = -sum(p.*log(p));
I = randn(10000000,1);
p = hist(I,1000000);
% remove zero entries in p
p(p==0) = [];
% normalize p so that sum(p) is one.
p = p ./ numel(I);
Et = -sum(p.*log(p));
negE=Et-Eg
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