Correcting Errors by Natural Redundancy Conference Paper

abstract

• 2017 IEEE. 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.

name of conference

• 2017 Information Theory and Applications Workshop (ITA)

authors

• Jiang, Anxiao (Andrew)

published proceedings

• 2017 INFORMATION THEORY AND APPLICATIONS WORKSHOP (ITA)

author list (cited authors)

• Jiang, A. A., Upadhyaya, P., Haratsch, E. F., & Bruck, J.

citation count

• 0

complete list of authors

• Jiang, Anxiao Andrew||Upadhyaya, Pulakesh||Haratsch, Erich F||Bruck, Jehoshua

publication date

• February 2017

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/ita.2017.8023455

International Standard Book Number (ISBN) 13

• 9781509052936

start page

• 1

end page

• 8

URL

• http://dx.doi.org/10.1109/ita.2017.8023455