An optical symbolic processor that performs logic, numeric, morphological and propositional calculus operations is described and initial laboratory results are presented.
An optical symbolic processor that performs logic, numeric, morphological and propositional calculus operations is described and initial laboratory results are presented.
An optical laboratory matrix–vector processor is used to solve parabolic differential equations (the transient diffusion equation with two space variables and time) by an explicit algorithm. This includes optical mat...
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An optical laboratory matrix–vector processor is used to solve parabolic differential equations (the transient diffusion equation with two space variables and time) by an explicit algorithm. This includes optical matrix–vector nonbase-2 encoded laboratory data, the combination of nonbase-2 and frequency-multiplexed data on such processors, a high-accuracy optical laboratory solution of a partial differential equation, new data partitioning techniques, and a discussion of a multiprocessor optical matrix–vector architecture.
optical linear algebra processors that involve solutions of linear algebraic equations have significant potential in adaptive and inference machines. We present an algorithm that includes constraints on the accuracy o...
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optical linear algebra processors that involve solutions of linear algebraic equations have significant potential in adaptive and inference machines. We present an algorithm that includes constraints on the accuracy of the processor and improves the accuracy of the results obtained from such analog processors. The constraint algorithm matches the problem to the accuracy of the processor. Calculation of the adaptive weights in a phased array radar is used as a case study. Simulation results prove the benefits advertised. The desensitization of the calculated weights to computational errors in the processor is quantified. Ridge regression is used to determine the parameter needed in the algorithm.
The Wigner Distribution Function (WDF) is a time-frequency descriptor capable of tracking the time-varying second order statistics in a signal. In this paper, we characterize linear systems in terms of the WDFs of the...
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opticalprocessing techniques are presented that provide the necessary input data for multi-target trackers. We detail opticalprocessing techniques for the detection of sub-pixel targets. We also detail optical proce...
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A hybrid optical/digital correlator filter synthesis architecture for distortion-invariant pattern recognition and scene analysis is described. Distortion-invariant correlation filter synthetic discriminant function d...
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We consider various types of optical computer generated holograms (CGHs) using various encoding techniques. The application chosen is their use as optical matched spatial filters (MSFs) in an optical frequency plane c...
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Partitioning of an object into N parts and the use of M filters with different output patterns are used to produce an NM digit symbolic encoding of the input object. The rule based system and techniques to update part...
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Many uses for the Hough transform (HT) require only several theta slices, not the entire 2-D Hough space. A new holographic optical architecture is advanced to achieve this in parallel. The computer-generated hologram...
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Many uses for the Hough transform (HT) require only several theta slices, not the entire 2-D Hough space. A new holographic optical architecture is advanced to achieve this in parallel. The computer-generated holograms and holographic optical elements used are discussed, and laboratory results are provided. As a case study, we consider determining printing skew and other defects on cigarette packs. We also discuss how these holograms can produce the entire 2-D HT space.
Multiple degree of freedom object recognition concerns objects with no stable rest position with all scale, rotation, and aspect distortions possible. We assume that the objects are in a fairly benign background, so t...
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Multiple degree of freedom object recognition concerns objects with no stable rest position with all scale, rotation, and aspect distortions possible. We assume that the objects are in a fairly benign background, so that feature extractors are usable. In-plane distortion invariance is provided by use of a polar-log coordinate transform feature space, and out-of-plane distortion invariance is provided by linear discriminant function design. Relational graph decision nets are considered for multiple degree of freedom pattern recognition. The design of Fisher linear discriminant functions and synthetic discriminant functions for use at the nodes of binary and multidecision nets is discussed. Case studies are detailed for two-class and multiclass problems. Simulation results demonstrate the robustness of the processors to quantization of the filter coefficients and to noise.
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