Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Darren M. Simon"'
Publikováno v:
Optics Communications. 85:311-314
A neural network model based on an optical resonator is described and its pattern recognition performance is investigated in computer simulations.
Publikováno v:
SPIE Proceedings.
This paper details a compact two-dimensional optical correlator based on 128 X 128 ferroelectric liquid crystal spatial light modulators in both the image and filter planes. A complete description of this compact correlator is given. The correlator i
Autor:
Darren M. Simon, Brett D. Bock
Publikováno v:
SPIE Proceedings.
Adding realistic hardware characteristics to computer simulations of optical processing systems provides insight to the performance of the system. The Photonic Systems Group at Martin Marietta Astronautics has produced an optical correlation simulati
Publikováno v:
SPIE Proceedings.
This paper details a compact correlator unit (CCU) built by Martin Marietta that performs start-to-finish automatic pattern recognition tasks. The CCU is a transportable, programmable two-dimensional optical correlator based on magneto-optic spatial
Publikováno v:
SPIE Proceedings.
Backpropagation-trained neural networks with optical correlation inputs are used to predict target rotation and to synthesize simplified optical correlation filters for rotated targets.
Publikováno v:
SPIE Proceedings.
A locally linear neural network for interpolation and extrapolation is described. Desirable characteristics of this network include exact recall of training data optimal linear generalization of testing data and training in a known number of computat
Publikováno v:
Digital Optical Computing II.
The convergence of a neural network model based on optical resonator designs is examined for Boolean logic operations. Computer simulations are performed to investigate convergence performance and to assess possible optical implementations. The model
Publikováno v:
Annual Meeting Optical Society of America.
Interpolation between evenly spaced image pixels is often required in optical metrology and other applications. The interpolation model considered here is motivated by neural network techniques and is applicable when each pixel is characterized by a
Conference
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Conference
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