@inproceedings{03d434bd75e44570826a0262c0392029,
title = "A linear programming based channel coding strong converse for the BSC and BEC",
abstract = "This paper illustrates the application of the linear programming (LP) based framework proposed by the authors previously [1] in deriving improved converses for finite blocklength channel coding of a discrete memoryless binary symmetric channel (BSC) and binary erasure channel (BEC). Employing elementary concepts of optimization, finite blocklength channel coding converses for BSC and BEC are derived from first principles. The converses thus derived do not rely on information theoretic constructs like tilted information or information densities. Moreover, it is shown that the converses obtained imply the strong converse for BSC and BEC, thereby introducing a new approach for explaining the strong converse phenomenon.",
author = "Sharu Jose and Kulkarni, \{Ankur A.\}",
year = "2017",
month = oct,
day = "23",
doi = "10.1109/NCC.2017.8077036",
language = "English",
isbn = "9781509053575",
series = "National Conference on Communications (NCC)",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
booktitle = "2017 Twenty-third National Conference on Communications (NCC)",
note = "Twenty-third National Conference on Communications (NCC) ; Conference date: 02-03-2017 Through 04-03-2017",
}