On the List Decodability of Self-orthogonal Rank Metric Codes
Information Theory
2018-01-23 v1 math.IT
Abstract
V. Guruswami and N. Resch prove that the list decodability of -linear rank metric codes is as good as that of random rank metric codes in~\cite{venkat2017}. Due to the potential applications of self-orthogonal rank metric codes, we focus on list decoding of them. In this paper, we prove that with high probability, an -linear self-orthogonal rank metric code over of rate is shown to be list decodable up to fractional radius and small with list size depending on and at most . In addition, we show that an -linear self-orthogonal rank metric code of rate up to the Gilbert-Varshamov bound is -list decodable.
Keywords
Cite
@article{arxiv.1801.07033,
title = {On the List Decodability of Self-orthogonal Rank Metric Codes},
author = {Shu Liu},
journal= {arXiv preprint arXiv:1801.07033},
year = {2018}
}