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Proceedings Paper

Ultrafast temporal pattern recognition through a persistent spectral hole-burning filter
Author(s): Mingzhen Tian; Ivan Lorgere; Jean-Pierre Galaup; Jean-Louis Le Gouet
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Paper Abstract

With present electronic equipment it is difficult to perform the temporal analysis of optical signals in the picosecond range. One usually resorts to sampling techniques that do not apply to single-event signals. Pattern recognition is an alternative way to perform signal analysis. This technique is well known in the context of the spatial analysis of two-dimension scenes. It relies on the comparison of an input object with a series of filter patterns, that have been stored in a bank. It is restricted to the recognition of one pattern among those that are contained in the bank but it applies to single events and it can be very fast since it relies on the cross correlation processing capabilities of non-linear optical materials. We adapt this procedure to the temporal domain.

Paper Details

Date Published: 22 May 1998
PDF: 4 pages
Proc. SPIE 3490, Optics in Computing '98, (22 May 1998); doi: 10.1117/12.308881
Show Author Affiliations
Mingzhen Tian, CNRS-Lab. Aime Cotton (France)
Ivan Lorgere, CNRS-Lab. Aime Cotton (France)
Jean-Pierre Galaup, CNRS-Lab. Aime Cotton (France)
Jean-Louis Le Gouet, CNRS-Lab. Aime Cotton (France)

Published in SPIE Proceedings Vol. 3490:
Optics in Computing '98
Pierre H. Chavel; David A. B. Miller; Hugo Thienpont, Editor(s)

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