Minimax R\'enyi Redundancy

Autor: Yagli, Semih, Altuğ, Yücel, Verdú, Sergio
Rok vydání: 2017
Předmět:
Druh dokumentu: Working Paper
DOI: 10.1109/TIT.2018.2803070
Popis: The redundancy for universal lossless compression of discrete memoryless sources in Campbell's setting is characterized as a minimax R\'enyi divergence, which is shown to be equal to the maximal $\alpha$-mutual information via a generalized redundancy-capacity theorem. Special attention is placed on the analysis of the asymptotics of minimax R\'enyi divergence, which is determined up to a term vanishing in blocklength.
Comment: Double-column, 19 pages, submitted for publication to IEEE Transactions on Information Theory. Disclaimer: the published version may have slight variations. Part of this work appeared in ISIT '17
Databáze: arXiv