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...
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| Vydané v: | Proceedings / IEEE International Symposium on Information Theory s. 1 - 6 |
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| Hlavní autori: | , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
IEEE
22.06.2025
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| Predmet: | |
| ISSN: | 2157-8117 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | 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. |
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| ISSN: | 2157-8117 |
| DOI: | 10.1109/ISIT63088.2025.11195251 |