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