The Noisy Drawing Channel: Reliable Data Storage in DNA Sequences
The Noisy Drawing Channel: Reliable Data Storage in DNA Sequences
复制标题
嘈杂的绘图通道:DNA 序列中的可靠数据存储
DOI:
10.1109/tit.2022.3231752
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发表时间:
2023
影响因子:
2.5
通讯作者:
Yaakobi, Eitan
中科院分区:
文献类型:
--
作者:
Lenz, Andreas;Siegel, Paul H.;Wachter-Zeh, Antonia;Yaakobi, Eitan
Motivated by recent advances in DNA-based data storage, we study a communication system, where information is conveyed over many sequences in parallel. In this system, the receiver cannot control the access to these sequences and can only draw from these sequences, unaware which sequence has been drawn. Further, the drawn sequences are susceptible to errors. In this paper, a suitable channel model that models this input-output relationship is analyzed and its information capacity is computed for a wide range of parameters and a general class of drawing distributions. This generalizes previous results for the noiseless case and specific drawing distributions. The analysis can guide future DNA-based data storage experiments by establishing theoretical limits on achievable information rates and by proposing decoding techniques that can be useful for practical implementations of decoders.
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DOI:
--
发表时间:
2019
期刊:
International Symposium on Information Theory
影响因子:
--
作者:
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DOI:
10.1109/isit.2006.261874
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2006
期刊:
2006 IEEE International Symposium on Information Theory
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DOI:
--
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2015
期刊:
International Symposium on Information Theory
影响因子:
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DOI:
--
发表时间:
2020
期刊:
International Symposium on Information Theory and its Applications
影响因子:
--
作者:
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通讯作者:
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