Information Theory and Statistics

Information Theory and Statistics (1968)

by S. Kullback

Citations:

872 - 0 self

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Datum	Value	Source
TITLE	Information Theory and Statistics	user correction - Legacy Corrections
AUTHOR NAME	S. Kullback	user correction - Legacy Corrections
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.	user correction - Legacy Corrections
YEAR	1968	user correction - Legacy Corrections
CITATIONS	8 found	ParsCit 1.0