BibTeX
@MISC{Kullback68informationtheory,
author = {S. Kullback},
title = {Information Theory and Statistics},
year = {1968}
}
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Abstract
Entropy and relative entropy are proposed as features extracted from symbol sequences. Firstly, a proper Iterated Function System is driven by the sequence, producing a fractaMike representation (CSR) with a low computational cost. Then, two entropic measures are applied to the CSR histogram of the CSR and theoretically justified. Examples are included.
