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Proceedings Paper

Optoelectronic architecture for cellular neural networks based on bias coding method and incoherent correlation
Author(s): N. K. Gupta; Hidemitsu Ogawa
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Paper Abstract

A bias coding method is proposed for cellular neural networks which facilitates the representation of analog values into unipolar format. These bias-coded values are spatially arranged on the transparencies using a designed spatial coding scheme. A new compact and efficient optoelectronic architecture for cellular neural networks is also reported which is based on the proposed bias coding method and incoherent correlation.

Paper Details

Date Published: 2 January 1998
PDF: 6 pages
Proc. SPIE 3211, International Conference on Fiber Optics and Photonics: Selected Papers from Photonics India '96, (2 January 1998); doi: 10.1117/12.345578
Show Author Affiliations
N. K. Gupta, Indian Institute of Technology (India)
Hidemitsu Ogawa, Tokyo Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 3211:
International Conference on Fiber Optics and Photonics: Selected Papers from Photonics India '96
J. P. Raina; P. R. Vaya, Editor(s)

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