Accession Number : ADA312023
Title : Optimal Correlation Filters for Detecting a Target in Background Noise.
Descriptive Note : Final rept.,
Corporate Author : CONNECTICUT UNIV STORRS
Personal Author(s) : Javidi, Bahram
PDF Url : ADA312023
Report Date : JAN 1996
Pagination or Media Count : 52
Abstract : This report focuses on the development of optimal correlation filters for pattern recognition with spatially disjoint target and scene noise. In particular, it is shown that, for this class of problems, the matched filter expressions and optimum receivers derived under the overlapping input signal and scene noise assumption may not perform well in the presence of spatially disjoint input signal and scene noise.
Descriptors : *CORRELATION, *PATTERN RECOGNITION, ALGORITHMS, SIGNAL PROCESSING, COMPUTERIZED SIMULATION, FOURIER TRANSFORMATION, IMAGE PROCESSING, SPATIAL DISTRIBUTION, OPTIMIZATION, MAXIMUM LIKELIHOOD ESTIMATION, SIGNAL TO NOISE RATIO, GAUSSIAN NOISE, INPUT OUTPUT PROCESSING, TARGET DISCRIMINATION, OPTICAL CORRELATORS, MATHEMATICAL FILTERS, NONLINEAR SYSTEMS, TARGET DETECTION, MATCHED FILTERS, BACKGROUND NOISE, ERROR CORRECTION CODES.
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE