I'm trying to find entropy from a Probability Mass Function (PMF) using the following equation:
Where is a PMF value and m is the amount of values of the PMF.
From there I created this code:
entropy = 0;
pmf = [0.1, 0.015, .. , 0.02, 0.1];
% Summation
for l = 1:length(pmf)
entropy = entropy + pmf(l) * log2(pmf(l));
fprintf('Entropy Val %d: %f.20 \n', l, entropy)
end
entropy = entropy * -1;
But the entropy value started to give out a NaN value when . Is there a way to avoid that?

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Matt J
Matt J am 22 Mär. 2022
Bearbeitet: Matt J am 22 Mär. 2022

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entropy=-cumsum(pmf.*log2(pmf),'omitnan');
fprintf('Entropy Val %d: %f.20 \n', l:numel(entropy), entropy)

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