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Correcting errors by natural redundancy

Jiang, Anxiao (Andrew) and Upadhyaya, Pulakesh and Haratsch, Erich F. and Bruck, Jehoshua (2017) Correcting errors by natural redundancy. In: 2017 Information Theory and Applications Workshop (ITA). IEEE , pp. 1-8. ISBN 978-1-5090-5293-6.

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For the storage of big data, there are significant challenges with its long-term reliability. This paper studies how to use the natural redundancy in data for error correction, and how to combine it with error-correcting codes to effectively improve data reliability. It explores several aspects of natural redundancy, including the discovery of natural redundancy in compressed data, the efficient decoding of codes with random structures, the capacity of error-correcting codes that contain natural redundancy, and the time-complexity tradeoff between source coding and channel coding.

Item Type:Book Section
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Bruck, Jehoshua0000-0001-8474-0812
Additional Information:© 2017 IEEE. Date Added to IEEE Xplore: 31 August 2017.
Record Number:CaltechAUTHORS:20170907-081956775
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Official Citation:A. Jiang, P. Upadhyaya, E. F. Haratsch and J. Bruck, "Correcting errors by natural redundancy," 2017 Information Theory and Applications Workshop (ITA), San Diego, CA, USA, 2017, pp. 1-8. doi: 10.1109/ITA.2017.8023455
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:81233
Deposited By: Ruth Sustaita
Deposited On:07 Sep 2017 16:56
Last Modified:15 Nov 2021 19:42

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