Generalized Information Measures and Their Applications
by Inder Jeet Taneja
Publisher: Universidade Federal de Santa Catarina 2001
Contents: Shannon's Entropy; Information and Divergence Measures; Entropy-Type Measures; Generalized Information and Divergence Measures; M-Dimensional Divergence Measures and Their Generalizations; Unified (r,s)-Multivariate Entropies; Noiseless Coding and Generalized Information Measures; Channel Capacity and Source Coding Theorems; Statistical Aspects of Information Measures; Bayesian Probability of Error and Generalized Information Measures; Fuzzy Sets and Information Measures.
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This e-book is a brief tutorial on information theory, excess entropy and statistical complexity. From the table of contents: Background in Information Theory; Entropy Density and Excess Entropy; Computational Mechanics.
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