Reliable data recovery from errors due to noisy channel during transmission

DNA holds great potential for data storage. This potential is physically represented by the numerous companies that focuses on molecular data storage. Companies such as DNA Script, Evonetix and Helixworks. Essentially, research has shown that DNA has great capabilities in storing large amounts of da...

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Main Author: Yeoh, Nur Sabrina Iskandar Abdullah
Other Authors: Erry Gunawan
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/149272
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1492722023-07-07T18:09:07Z Reliable data recovery from errors due to noisy channel during transmission Yeoh, Nur Sabrina Iskandar Abdullah Erry Gunawan School of Electrical and Electronic Engineering Wang Yixin Sankar Subhasiny EGUNAWAN@ntu.edu.sg Engineering::Computer science and engineering::Information systems::Information storage and retrieval Engineering::Electrical and electronic engineering DNA holds great potential for data storage. This potential is physically represented by the numerous companies that focuses on molecular data storage. Companies such as DNA Script, Evonetix and Helixworks. Essentially, research has shown that DNA has great capabilities in storing large amounts of data for long periods of time. However, there are certain problems that comes along with the process of molecular data storage. This report will focus on one such problem and attempt to use the Slidesort algorithm to solve the issue and increase the viability of molecular data storage. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-05-29T08:15:06Z 2021-05-29T08:15:06Z 2021 Final Year Project (FYP) Yeoh, N. S. I. A. (2021). Reliable data recovery from errors due to noisy channel during transmission. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149272 https://hdl.handle.net/10356/149272 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Engineering::Electrical and electronic engineering
spellingShingle Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Engineering::Electrical and electronic engineering
Yeoh, Nur Sabrina Iskandar Abdullah
Reliable data recovery from errors due to noisy channel during transmission
description DNA holds great potential for data storage. This potential is physically represented by the numerous companies that focuses on molecular data storage. Companies such as DNA Script, Evonetix and Helixworks. Essentially, research has shown that DNA has great capabilities in storing large amounts of data for long periods of time. However, there are certain problems that comes along with the process of molecular data storage. This report will focus on one such problem and attempt to use the Slidesort algorithm to solve the issue and increase the viability of molecular data storage.
author2 Erry Gunawan
author_facet Erry Gunawan
Yeoh, Nur Sabrina Iskandar Abdullah
format Final Year Project
author Yeoh, Nur Sabrina Iskandar Abdullah
author_sort Yeoh, Nur Sabrina Iskandar Abdullah
title Reliable data recovery from errors due to noisy channel during transmission
title_short Reliable data recovery from errors due to noisy channel during transmission
title_full Reliable data recovery from errors due to noisy channel during transmission
title_fullStr Reliable data recovery from errors due to noisy channel during transmission
title_full_unstemmed Reliable data recovery from errors due to noisy channel during transmission
title_sort reliable data recovery from errors due to noisy channel during transmission
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/149272
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