Non-linear resistive grid kernel estimator useful in single feat

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G06G 700

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053654722

ABSTRACT:
A discrete non-linear estimator is provided to establish a probability dety function useful in classification of a feature as belonging to one of two classes. A first and second known feature space associated with respective first and second classes are each converted to a plurality of voltages reflecting corresponding first and second feature space bins. A first and second one-dimensional, non-linear resistive grid has input nodes that continuously receive the voltages reflecting the respective first and second known feature space. Each resistive grid produces an output voltage at each of a corresponding plurality of first and second output nodes. Each of a plurality of voltage comparators are used to compare voltages at corresponding first and second output nodes to output a discrete probability density function that considers corresponding ones of the first and second feature space bins. A display may be used to visually or otherwise provide each probability density function from each voltage comparator.

REFERENCES:
patent: 4235516 (1980-11-01), Shreve
patent: 4468093 (1984-08-01), Brown
patent: 4830472 (1989-05-01), Mukouzaka
patent: 5214744 (1993-05-01), Schweizer et al.
patent: 5295091 (1994-03-01), DeWit

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