Deep Joint Source-Channel Coding for DNA Image Storage: A Novel Approach With Enhanced Error Resilience and Biological Constraint Optimization

In the current era, DeoxyriboNucleic Acid (DNA) based data storage emerges as an intriguing approach, garnering substantial academic interest and investigation. This paper introduces a novel deep joint source-channel coding (DJSCC) scheme for DNA image storage, designated as DJSCC-DNA. This paradigm...

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Vydáno v:	IEEE transactions on molecular, biological, and multi-scale communications Ročník 9; číslo 4; s. 461 - 471
Hlavní autoři:	Wu, Wenfeng, Xiang, Luping, Liu, Qiang, Yang, Kun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Artificial neural networks biological constraints Biological information theory Constraint modelling Data recovery Data storage Decoding Deep learning Deoxyribonucleic acid DNA DNA polymerase DNA storage Encoding Image coding Image enhancement Image storage joint source-channel coding Neural networks Optimization Polymerase chain reaction Signal to noise ratio
ISSN:	2372-2061, 2372-2061
On-line přístup:	Získat plný text
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