@inproceedings{0c7aafd307174fdb894c8ea881ec32f7,
title = "Polar Codes for the Deletion Channel: Weak and Strong Polarization",
abstract = "This paper presents the first proof of polarization for the deletion channel with a constant deletion rate and a regular hidden-Markov input distribution. A key part of this work involves representing the deletion channel using a trellis and describing the plus and minus polar-decoding operations on this trellis. In particular, the plus and minus operations can be seen as combining adjacent trellis stages to yield a new trellis with half as many stages. Using this viewpoint, we prove a weak polarization theorem for standard polar codes on the deletion channel. To achieve strong polarization, we modify this scheme by adding guard bands of repeated zeros between various parts of the codeword. Using this approach, we obtain a scheme whose rate approaches the mutual information and whose probability of error decays exponentially in the cube-root of the block length.",
author = "Ido Tal and Pfister, {Henry D.} and Arman Fazeli and Alexander Vardy",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Symposium on Information Theory, ISIT 2019 ; Conference date: 07-07-2019 Through 12-07-2019",
year = "2019",
month = jul,
doi = "10.1109/ISIT.2019.8849705",
language = "الإنجليزيّة",
series = "IEEE International Symposium on Information Theory - Proceedings",
pages = "1362--1366",
booktitle = "2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings",
}