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An application of generalized Tsalli’s-Havrda-Charvat entropy in coding theory through a generalization of Kraft inequality

Abstract

A parametric mean length is defined as the quantity , where α > 0 (≠ 1), β > 0, ui > 0, D > 1 is an integer, Σ pi = 1. This being the useful mean length of code words weighted by utilities, ui. Lower and Upper bounds form αβLu are derived in terms of ‘useful’ Tsalli’s-Havrda-Charvat information measure for power probability distribution Pβi.

Statistical Mechanics and EntropyAdvanced Statistical Methods and ModelsStatistical Distribution Estimation and ApplicationsMathematicsEntropy (arrow of time)Entropy power inequalityParametric statisticsUpper and lower boundsInformation theoryCombinatoricsDiscrete mathematicsStatisticsApplied mathematics
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