Accession Number : ADD017394

Title :   Non-Linear Resistive Grid Kernel Estimator Useful in Single Feature, Two-Class 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 non-linear 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 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. (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