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

Gray-scale data pages for digital holographic data storage

Geoffrey W. Burr, Gabriele Barking, Hans Coufal, John A. Hoffnagle, C. Michael Jefferson, and Mark A. Neifeld
Opt. Lett. 23(15) 1218-1220 (1998)

Noise reduction of page-oriented data storage by inverse filtering during recording

Geoffrey W. Burr, Hans Coufal, Robert K. Grygier, John A. Hoffnagle, and C. Michael Jefferson
Opt. Lett. 23(4) 289-291 (1998)

Parallel detection algorithm for page-oriented optical memories

Brian M. King and Mark A. Neifeld
Appl. Opt. 37(26) 6275-6298 (1998)

Holographic storage of multiple high-capacity digital data pages in thick photopolymer systems

Lisa Dhar, Kevin Curtis, Michael Tackitt, Marcia Schilling, Scott Campbell, William Wilson, Adrian Hill, Carol Boyd, Nicholas Levinos, and Alex Harris
Opt. Lett. 23(21) 1710-1712 (1998)

Optical storage interactive simulator (oasis): an interactive tool for the analysis of page-oriented optical memories

George A. Betzos, Michael S. Porter, John F. Hutton, and Pericles A. Mitkas
Appl. Opt. 37(26) 6115-6126 (1998)