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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 37, Iss. 35 — Dec. 10, 1998
  • pp: 8215–8218

Algorithm for the extraction of page-formatted binary digital data

An-Dien Nguyen, Xiao-An Shen, David L. Huestis, and Ravinder Kachru  »View Author Affiliations


Applied Optics, Vol. 37, Issue 35, pp. 8215-8218 (1998)
http://dx.doi.org/10.1364/AO.37.008215


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Abstract

We present an algorithm for fast and reliable extraction of page-formatted binary digital data. The advantages of the algorithm include a low raw bit-error rate, fast extraction speed, the use of a simple and density-efficient coding scheme, and large tolerance to a change of the signal-to-noise ratio. We used this algorithm to analyze shot-noise-limited binary data that had large interpage and intrapage intensity variations and obtained an improvement in the bit-error rate of 3–4 orders of magnitude compared with that in a single-threshold-detection scheme. Implications of our results for the development of high-speed, high-density holographic memories are discussed.

© 1998 Optical Society of America

OCIS Codes
(200.3050) Optics in computing : Information processing
(200.4560) Optics in computing : Optical data processing
(210.2860) Optical data storage : Holographic and volume memories
(210.4680) Optical data storage : Optical memories

History
Original Manuscript: November 19, 1997
Revised Manuscript: June 8, 1998
Published: December 10, 1998

Citation
An-Dien Nguyen, Xiao-An Shen, David L. Huestis, and Ravinder Kachru, "Algorithm for the extraction of page-formatted binary digital data," Appl. Opt. 37, 8215-8218 (1998)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-37-35-8215

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