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Convolution-kernel-based optimal trade-off filters for optical pattern recognition
Applied Optics
|November 25, 2010
Abstract:
An architecture for the implementation of optical pattern recognition is proposed that makes use of convolution-kernel-based optimal trade-off filters to allow for an increased speed of operation and filter storage capability. The derivation of these new convolution-kernel-based optimal trade-off filters is presented, and their noise robustness and discrimination capabilities are discussed.
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