GENERAL FRAME WAVELET CLASSIFIER

Patent №

US 5,481,269

Granted

1996-01-02

Filed 1994

Owner

WESTINGHOUSE ELECTRIC CORPORATION

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08250226

A classifier employing general frame wavelets for improving target recognition while decreasing computational intensity is disclosed. A wavelet selection means compares a portion of a time dependent input signal from a receiver with a set of sample wavelets, each wavelet being bandpass limited, locally supported, and mean zero, and selects a prototype wavelet resembling the input portion. A resolving means expands the prototype wavelet onto a basis of wavelet functions having variations in scale and delay, and resolves the input signal onto the basis of functions. A regionpass filter identifies a region from a grid of resolved coefficients that contains features of a target from the input signal and discards coefficients outside the region. A separability filter passes select coefficients from a scale band within the identified region where separability among known targets is high. A comparator compares the selected coefficients with an exemplar of known targets to indicate a recognition of the target.

Machine learningVisionAI hardwareG01S 7/411G06F 17/14G06V 10/255G06V 10/431G06F 2218/08

AI classification

Vision1.00
Machine learning1.00
AI hardware0.77
Planning0.01
Speech0.01
Natural language0.00
Evolutionary computation0.00
Knowledge representation0.00

Ownership

WESTINGHOUSE ELECTRIC CORPORATION

assignment · 70320674

Assignors

IMHOFF, SCOTT ALLEN, WOOLFSON, MARTIN GERALD, BENDOR, GIORA ALEXANDER, CHEESMAN, GUY WALDEN III, BRINSLEY, JAMES ROTHWELL, MORICI, MARTIN MARSHALL

On an employer assignment, the assignors are typically the inventors.

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