NEW MEASURES OF INFORMATION AND THEIR APPLICATIONS IN CODING THEORY Page No: 2905-2912

Om Parkash and Priyanka Kakkar

Keywords: Entropy, directed divergence, inaccuracy, mean codeword length, uniquely decipherable code.

Abstract: New measures of information including entropy, directed divergence and inaccuracy along with their generalizations have been introduced and their essential and desirable properties are studied. The relations between newly developed measures of directed divergence and the well-known standard measure of divergence existing in the literature of distance measures usually known as Kullback-Leibler’s measure have been established. Applications of these measures are provided to the field of coding theory for the study of source coding theorems.



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