Statistics

   

Surround Codes, Densification, and Entropy Scan Performance

Authors: Russell Leidich

Herein we present the “surround” function, which is intended to produce a set of “surround codes” which enhance the sparsity of integer sets which have discrete derivatives of lesser Shannon entropy than the sets themselves. In various cases, the surround function is expected to provide further entropy reduction beyond that provided by straightforward delta (difference) encoding alone.

We then present the simple concept of “densification”, which facilitates the elimination of entropy overhead due to masks (symbols) which were considered possible but do not actually occur in a given mask list (set of symbols).

Finally we discuss the ramifications of these techniques for the sake of enhancing the speed and sensitivity of various entropy scans.

Comments: 11 Pages.

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Submission history

[v1] 2017-11-11 10:41:48

Unique-IP document downloads: 6 times

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