Coding Schemes Based on Reed-Muller Codes for $(d,\infty)$-RLL Input-Constrained Channels
V. Arvind Rameshwar, Navin Kashyap

TL;DR
This paper explores Reed-Muller code-based schemes for input-constrained channels, establishing rate bounds for RLL subcodes and introducing a new coding scheme that surpasses linear code performance near capacity.
Contribution
It introduces a construction of RLL subcodes from Reed-Muller codes, proves their rate optimality, and presents a novel two-stage coding scheme outperforming linear codes.
Findings
Linear RLL subcodes have rate proportional to RM code rate and a factor depending on d.
Existence of non-linear RLL subcodes with higher rates for d=1 when R > 3/4.
A new two-stage coding scheme outperforms linear RLL subcodes near capacity.
Abstract
The paper considers coding schemes derived from Reed-Muller (RM) codes, for transmission over input-constrained memoryless channels. Our focus is on the -runlength limited (RLL) constraint, which mandates that any pair of successive s be separated by at least s. In our study, we first consider -RLL subcodes of RM codes, taking the coordinates of the RM codes to be in the standard lexicographic ordering. We show, via a simple construction, that RM codes of rate have linear -RLL subcodes of rate . We then show that our construction is essentially rate-optimal, by deriving an upper bound on the rates of linear -RLL subcodes of RM codes of rate . Next, for the special case when , we prove the existence of potentially non-linear -RLL subcodes that achieve a…
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Taxonomy
TopicsCellular Automata and Applications · Error Correcting Code Techniques · DNA and Biological Computing
