Information theory and statistics

Information theory and statistics,Solomon Kullback

Information theory and statistics   (Citations: 2316)
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Entropy and relative entropy are proposed as features extracted from symbol sequences. Firstly, a proper Iterated FunctionSystem is driven by the sequence, producing a fractaMike representation (CSR) with a low computational cost. Then, twoentropic measures are applied to the CSR histogram of the CSR and theoretically justified. Examples are included.
Published in 1968.
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