string entropy
Information entropy is the average rate at which information is produced by a stochastic source ... The concept of information entropy was introduced by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication". The basic .., Calculate the Shannon entropy H of a given input string. ... the closest to physical entropy and a measure of the information content of a string.
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 string entropy 相關參考資料
c# - Calculating entropy of a string - Code Review Stack Exchange
In this context, the term usually refers to the Shannon entropy, which quantifies the expected value of the information contained in a message, ... https://codereview.stackexchan Entropy (information theory) - Wikipedia
Information entropy is the average rate at which information is produced by a stochastic source ... The concept of information entropy was introduced by Claude Shannon in his 1948 paper "A Mathem... https://en.wikipedia.org Entropy - Rosetta Code
Calculate the Shannon entropy H of a given input string. ... the closest to physical entropy and a measure of the information content of a string. https://rosettacode.org entropy-string - npm
Efficiently generate cryptographically strong random strings of specified entropy from various character sets. https://www.npmjs.com GitHub - lyfthigh-entropy-string: A library for classifying strings as ...
A library for classifying strings as potential secrets. - lyft/high-entropy-string. https://github.com How do I compute the approximate entropy of a bit string? - Stack ...
Entropy is not a property of the string you got, but of the strings you could have obtained instead. In other words, it qualifies the process by which the string was ... https://stackoverflow.com information theory - Entropy of a character in a String - Mathematics ...
Entropy is a measure of how much information there is in one source with one probability distribution. Relative entropy is a measure how close ... https://math.stackexchange.com Shannon entropy calculator — Real example how to calculate and ...
Shannon entropy is one of the most important metrics in information theory. Entropy measures the uncertainty associated with a random variable, i.e. the ... http://www.shannonentropy.netm Shannon::Entropy - Calculate the Shannon entropy H of a given input ...
Calculate the Shannon entropy H of a given input string. https://metacpan.org string-entropy - npm
Calculate the information entropy of a string. ... string-entropy. 0.0.2 • Public • Published 5 years ago. Readme · 0Dependencies · 1Dependents · 2Versions ... https://www.npmjs.com |