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    Provide an option to show/hide Shannon entropy · f7cffcbe
    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.
    f7cffcbe
    Provide an option to show/hide Shannon entropy
    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.
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