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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...

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Detalhes bibliográficos
Publicado no:Entropy (Basel)
Autor principal: Sakai, Yuta
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7516745/
https://ncbi.nlm.nih.gov/pubmed/33286062
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22030288
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