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Disturbance-based Discretization, Differentiable IDS Channel, and an IDS-Correcting Code for DNA-based Storage

arXiv 2407.18929 ↗First posted 10 Jul 2024cs.IT cs.ET cs.LGcited by 0

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Abstract (arXiv)

With recent advancements in next-generation data storage, especially in biological molecule-based storage, insertion, deletion, and substitution (IDS) error-correcting codes have garnered increased attention. However, a universal method for designing tailored IDS-correcting codes across varying channel settings remains underexplored. We present an autoencoder-based approach, THEA-code, aimed at efficiently generating IDS-correcting codes for complex IDS channels. In the work, a disturbance-based discretization is proposed to discretize the features of the autoencoder, and a simulated differentiable IDS channel is developed as a differentiable alternative for IDS operations. These innovations facilitate the successful convergence of the autoencoder, producing channel-customized IDS-correcting codes that demonstrate commendable performance across complex IDS channels, particularly in realistic DNA-based storage channels.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 18 of its 56 references that are in the map. First posted on arXiv 10 Jul 2024.

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18 of 56 references.

References · 18

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6 more
  1. 2023Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issuescited by 12
  2. 2023Deep Quantum Error Correctioncited by 10
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  5. 2021Synchronization Strings and Codes for Insertions and Deletions -- a Surveycited by 2
  6. 2021Beyond Single-Deletion Correcting Codes: Substitutions and Transpositionscited by 2

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