A Coding Theorem Connected on R-Norm Entropy
نویسندگان
چکیده
A relation between Shannon entropy and Kerridge inaccuracy, which is known as Shannon inequality, is well known in information theory. In this communication, first we generalized Shannon inequality and then given its application in coding theory.
منابع مشابه
Some More Noiseless Coding Theorem on Generalized R-Norm Entropy
A parametric mean length is defined as the quantity L R = R R−1 [ 1 − ∑N i=1 p β i D −ni( R−1 R ) ∑N j=1 p β j ] where R > 0 ( 1) , β > 0, pi > 0, ∑ pi = 1, i = 1, 2, . . . ,N. This being the mean length of code words. Lower and upper bounds for L R are derived in terms of R-norm information measure for the incomplete power distribution. AMS Subject classification. 94A15, 94A17, 94A24, 26D15.
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