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
(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
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)