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Proceedings Paper

Robust Signal Recovery And Recognition With Optical Analogs Of Neural Nets And Spurious Memory Discrimination
Author(s): N. H. Farhat
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Paper Abstract

Storage recipes used in forming associative content addressable memory (ACAM) based on models of neural nets are known to generate false spurious memory states together with those being intentionally stored. Effective use of such memories, and of recent optical embodiments of them, may require either exorcising the spurious states or devising a means for discriminating against them when they are evoked. In this paper an opto-electronic spurious memory discriminating circuit is described. It is used in conjunction with an ACAM, is designed to ignore spurious states when they occur, and indicates which of the nominal states is evoked by the stimulus achieving thereby robust recognition. The latter recognition circuit discussion is used as a vehicle for pointing out distinctive features of the "neural net" approach to signal processing as opposed to other approaches to performing the tasks described.

Paper Details

Date Published: 8 January 1987
PDF: 6 pages
Proc. SPIE 0700, 1986 Intl Optical Computing Conf, (8 January 1987); doi: 10.1117/12.936989
Show Author Affiliations
N. H. Farhat, University of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 0700:
1986 Intl Optical Computing Conf
Asher A. Friesem; Emanuel Marom; Joseph Shamir, Editor(s)

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