A Single-Bit Redundancy Framework for Multi-Dimensional Parametric Constraints

Constrained coding plays a key role in optimizing performance and mitigating errors in applications such as storage and communication, where specific constraints on codewords are required. While non-parametric constraints have been well-studied, parametric constraints, which depend on sequence lengt...

Full description

Saved in:
Bibliographic Details
Published in:Proceedings / IEEE International Symposium on Information Theory pp. 1 - 6
Main Authors: Bar-Lev, Daniella, Shlizerman, Michael
Format: Conference Proceeding
Language:English
Published: IEEE 22.06.2025
Subjects:
Encoding
Iterative methods
Redundancy
ISSN:2157-8117
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Constrained coding plays a key role in optimizing performance and mitigating errors in applications such as storage and communication, where specific constraints on codewords are required. While non-parametric constraints have been well-studied, parametric constraints, which depend on sequence length, have traditionally been tackled with ad hoc solutions. Recent advances have introduced unified methods for parametric constrained coding. This paper extends these approaches to multidimensional settings, generalizing an iterative framework to efficiently encode arrays subject to parametric constraints. We demonstrate the application of the method to existing and new constraints, highlighting its versatility and potential for advanced storage systems.
ISSN:2157-8117
DOI:10.1109/ISIT63088.2025.11195251