
Accession Number : ADD017394
Title : NonLinear Resistive Grid Kernel Estimator Useful in Single Feature, TwoClass Pattern Classification.
Descriptive Note : Patent, Filed 26 Nov 93, patented 15 Nov 94,
Corporate Author : DEPARTMENT OF THE NAVY WASHINGTON DC
Personal Author(s) : Solka, Jeffrey L ; Rogers, George W ; Priebe, Carey E ; Poston, Wendy L ; Szu, Harold
Report Date : 15 Nov 1994
Pagination or Media Count : 6
Abstract : A discrete nonlinear estimator is provided to establish a probability density 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 onedimensional, nonlinear 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. (AN)
Descriptors : *VOLTAGE, *PROBABILITY DENSITY FUNCTIONS, *PATENTS, ONE DIMENSIONAL, GRIDS, ESTIMATES, KERNEL FUNCTIONS, NODES, NONLINEAR SYSTEMS, DISCRETE DISTRIBUTION, PATTERN RECOGNITION, DISCONTINUITIES, CIRCUIT ANALYSIS, PHOTORESISTORS, COMPARATORS
Subject Categories : Electricity and Magnetism
Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE