@inproceedings{4febf9a98edf471a90c6fdef60d4fed1,
title = "Universal Polarization for Processes with Memory",
abstract = "A transform that is universally polarizing over a set of channels with memory is presented. Memory may be present in both the channel and its input. Both the encoder and the decoder are aware of the input distribution, which is fixed. Only the decoder is aware of the actual channel being used. The transform is used to design a universal code for this scenario. The code is to have vanishing error probability when used over any channel in the set, and achieve the infimal information rate over the set. Universal polarization is established under two key properties: memory in the form of an underlying hidden Markov state sequence that is aperiodic and irreducible and a new property: forgetfulness.",
author = "Boaz Shuval and Ido Tal",
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.2019.8849377",
language = "الإنجليزيّة",
series = "IEEE International Symposium on Information Theory - Proceedings",
pages = "2089--2093",
booktitle = "2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings",
}