Howtosignalprocessing
- What is the meaning of entropy in information theory?
- What is an example of information entropy?
- What does low entropy mean information theory?
What is the meaning of entropy in information theory?
In information theory, the entropy of a random variable is the average level of "information", "surprise", or "uncertainty" inherent to the variable's possible outcomes.
What is an example of information entropy?
Information entropy is a measure of how much information there is in some specific data. It isn't the length of the data, but the actual amount of information it contains. For example, one text file could contain “Apples are red.” and another text file could contain “Apples are red. Apples are red.
What does low entropy mean information theory?
More generally, a random variable with high entropy is closer to being a uniform random variable whereas a random variable with low entropy is less uniform (i.e. there is a high probability associated with only a few of its outcomes).
