1
$\begingroup$

I was reading a paper about finding optimal morlet wavelet function for CWT, and they were minimizing Shannon entropy.
what is Shannon entropy and it uses?
(specially on continuous wavelet transform)

$\endgroup$
4
$\begingroup$

Shannon entropy is a way of measuring the degree of unexpectedness or unpredictability of a random variable. For example rolling a die has higher entropy than flipping a coin because the die has more possible outcomes making it harder to predict. Same goes for a biased coin versus a fair coin.

$\endgroup$
  • $\begingroup$ For signals, it also helps quantifying the amount of information present in the signal, so that if there's only a small amount you know you can describe the signal with limited data. $\endgroup$ – Florian Castellane Dec 6 '13 at 5:50
  • $\begingroup$ check my other question about shannon entropy here plz dsp.stackexchange.com/questions/13055/… @Aaron $\endgroup$ – Electricman Dec 6 '13 at 14:16
  • $\begingroup$ @florian-castellane $\endgroup$ – Electricman Dec 6 '13 at 14:16

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.