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Jim Huang authored
The concept of information entropy was introduced by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication", and is also referred to as Shannon entropy. Shannon's theory defines a data communication system composed of three elements: a source of data, a communication channel, and a receiver. The "fundamental problem of communication" – as expressed by Shannon – is for the receiver to be able to identify what data was generated by the source, based on the signal it receives through the channel. In qtest, execute "option entropy 1" before command "show" which will display both the value of each element and its Shannon entropy. For the sake of performance, the integer-only calculation is used for the kernel of Shannon entropy.
Jim Huang authoredThe concept of information entropy was introduced by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication", and is also referred to as Shannon entropy. Shannon's theory defines a data communication system composed of three elements: a source of data, a communication channel, and a receiver. The "fundamental problem of communication" – as expressed by Shannon – is for the receiver to be able to identify what data was generated by the source, based on the signal it receives through the channel. In qtest, execute "option entropy 1" before command "show" which will display both the value of each element and its Shannon entropy. For the sake of performance, the integer-only calculation is used for the kernel of Shannon entropy.
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