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Lossy Source Coding With DNA Base Composition Constraints

delete2026-06-16
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PRE
AI
D
Dan Song
X
Xuan Li
Z
Zhaopeng Xie
陈萍萍 cover
陈萍萍 (Pingping Chen)
L
Lin Wang
DOI:10.1109/tcomm.2026.3704248delete
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Abstract

Abstract

En 中文
Deoxyribonucleic acid (DNA) data storage is recognized as a transformative archival technology due to its ultrahigh density and exceptional longevity. However, its practical capacity is severely limited by the conventional separated architecture, where lossy source coding and DNA constraint satisfaction are implemented as independent, sequential stages. This work proposes a unified framework that integrates lossy compression with DNA base composition constraints. A protograph-based low-density parity-check code structure is employed for efficient quantization. To enable joint optimization, a novel multi-point central difference method is devised to approximate gradients through non-differentiable operations. Experimental results demonstrate that the proposed system directly generates biochemically feasible DNA sequences while approaching the rate-distortion bound. This will advance the integration of information theory with physics-dependent system design.
Keywords:
Lossy source coding
P-LDPC codes
DNA base composition
rate-distortion performance
biological composition constraint

Journal

IEEE Transactions on Communications cover
IEEE Transactions on Communications
IF:
8.3
Papers:
1.2W
Citations:
3.6W

Organization

J
jimei university
Scholars:
2.1K
Papers: 751
Citations: 0
F
fuzhou university
Scholars:
3.3W
Papers: 2.1W
Citations: 31
X
xiamen university
Scholars:
5.9W
Papers: 3.8W
Citations: 67
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Cited Papers

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DNA Storage Promotes Long-Term Storage of Internet of Vehicles Data
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errGuanjin Qu; Huaming Wu; Ruidong Li
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