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Proceedings Paper

Suppression of noise in optical associative memories by real-time thresholding
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Paper Abstract

Associative memories that recognize a pattern based on partial input have numerous applications such as homeland security. Optical implementations of associative memories, for example using computer-generated holograms, have the inherent parallelism as an advantage over software realizations. The nonlinear thresholding operation is a key step in the optical associative memories. A major source error in these memories is the thresholding uncertainties caused by fluctuation, for example in the input illumination or varying degrees of partial obscuration. Here, we show a proof-of-principle demonstration of a new scheme to suppress such errors using real time thresholding and a modified Hopfield associative memory model.

Paper Details

Date Published: 23 May 2005
PDF: 6 pages
Proc. SPIE 5842, Fluctuations and Noise in Photonics and Quantum Optics III, (23 May 2005); doi: 10.1117/12.610953
Show Author Affiliations
Zhijie Deng, Texas A&M Univ. (United States)
De-Kui Qing, Texas A&M Univ. (United States)
Philip R. Hemmer, Texas A&M Univ. (United States)
M. Suhail Zubairy, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 5842:
Fluctuations and Noise in Photonics and Quantum Optics III
Philip R. Hemmer; Julio R. Gea-Banacloche; Peter Heszler Sr.; M. Suhail Zubairy, Editor(s)

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