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Proceedings Paper

Error correcting sparse permutation channel codes for digital holographic data storage
Author(s): Sergei S. Orlov; Kirill V. Shcheglov; Hongtau Liu; Snezhana I. Abarzhi
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Paper Abstract

We present a new class of modulation codes based on permutation coding which satisfy the channel coding constraint suitable for the digital holographic data storage, and which simultaneously provide strong error correction at high code rates. The channel decoding scheme is based on the true maximum likelihood detection realized using a newly developed efficient algorithm. The sparse permutation codes of large block sizes closely approach the information theoretic limits for the binary channel data capacity.

Paper Details

Date Published: 11 July 2007
PDF: 8 pages
Proc. SPIE 6620, Optical Data Storage 2007, 662026 (11 July 2007); doi: 10.1117/12.751953
Show Author Affiliations
Sergei S. Orlov, Stanford Univ. (United States)
Kirill V. Shcheglov, Jet Propulsion Lab. (United States)
Hongtau Liu, Illinois Institute of Technology (United States)
Snezhana I. Abarzhi, Illinois Institute of Technology (United States)

Published in SPIE Proceedings Vol. 6620:
Optical Data Storage 2007
Bernard Bell; Takeshi Shimano, Editor(s)

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