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Generalizations of Fano’s Inequality for Conditional Information Measures via Majorization Theory †
Fano’s inequality is one of the most elementary, ubiquitous, and important tools in information theory. Using majorization theory, Fano’s inequality is generalized to a broad class of information measures, which contains those of Shannon and Rényi. When specialized to these measures, it recovers and...
Autor principal: | Sakai, Yuta |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516745/ https://www.ncbi.nlm.nih.gov/pubmed/33286062 http://dx.doi.org/10.3390/e22030288 |
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