@inproceedings{cf55311ce8584b40bbe7fd94f0692a16,
title = "Refined bounds on the empirical distribution of good channel codes via concentration inequalities",
abstract = "We derive sharpened inequalities on the empirical output distribution of good channel codes with deterministic encoders and with non-vanishing maximal probability of decoding error. These inequalities refine recent bounds of Polyanskiy and Verd{\'u} by identifying closed-form expressions for certain asymptotic terms, which facilitates their calculation for finite blocklengths. The analysis relies on concentration-of-measure inequalities, specifically on McDiarmid's method of bounded differences and its close ties to transportation inequalities for weighted Hamming metrics. An operational implication of the new bounds is addressed.",
author = "Maxim Raginsky and Igal Sason",
year = "2013",
doi = "10.1109/ISIT.2013.6620220",
language = "الإنجليزيّة",
isbn = "9781479904464",
series = "IEEE International Symposium on Information Theory - Proceedings",
pages = "221--225",
booktitle = "2013 IEEE International Symposium on Information Theory, ISIT 2013",
note = "2013 IEEE International Symposium on Information Theory, ISIT 2013 ; Conference date: 07-07-2013 Through 12-07-2013",
}