I have a probability distribution that defines the probability of occurrence of n
possible states.
I would like to calculate the value of Shannon's entropy, in bits, of the given probability distribution.
Can I use wentropy(x,'shannon')
to get the value and if so where can I define the number of possible states a system has?
Since you already have the probability distribution, call it p
, you can do the following formula for Shannon Entropy instead of using wentropy
:
H = sum(-(p(p>0).*(log2(p(p>0)))));
This gives the entropy H
in bits.
p
must sum to 1.