Title :
Tsallis entropy as a lower bound of average description length for the q-generalized code tree
Author_Institution :
Chiba Univ., Chiba
Abstract :
We prove that the generalized Shannon additivity determines a lower bound of average description length for the q-generalized Z3-ary code tree. To clarify our main result, at first it is shown that the original Shannon additivity determines a lower bound of average code length of a Z3-ary code tree. As its generalization, we present our main result mentioned above. The generalized Shannon additivity is one of the generalized Shannon-Khinchin axioms for Tsallis entropy, i.e. one-parameter generalization of Shannon entropy. This reveals that Tsallis entropy is a lower bound of average description length for the q-generalized Z3-ary code tree.
Keywords :
source coding; Tsallis entropy; average description length; generalized Shannon additivity; q-generalized D-ary code tree; Code standards; Cost function; Differential equations; Entropy; Error analysis; Information theory; Physics; Probability distribution; Redundancy; Source coding;
Conference_Titel :
Information Theory, 2007. ISIT 2007. IEEE International Symposium on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-1397-3
DOI :
10.1109/ISIT.2007.4557112