Accession Number : AD0284854

Title :   APPLICATION OF RECOGNITION THEORY TO MISSILE IDENTIFICATION AND DECOY DISCRIMINATION

Corporate Author : MELPAR INC WATERTOWN MASS

Report Date : 12 MAY 1961

Pagination or Media Count : 1

Abstract : The problem of categorizing numerically described events is discussed in terms of a set of categories defined by correctly identified sample events. From the point of view of statistical decision-theoretical methods, classification and learning through parameter estimation constitute what may be called pattern recognition. The statistical classification techniques discussed can be used (and are optimum, for a particular criterion) when there is adequate prior knowledge about the functional forms of the category distributions. Nonparametric techniques are used when there is little prior knowledge. Some of these techniques have already been implemented and tried on real speech data. The results of this limited trial were successful. (Author)

Descriptors :   *ANTIAIRCRAFT DEFENSE SYSTEMS, *NOSE CONES, *RADAR DECOYS, *TARGET RECOGNITION, DATA PROCESSING, DETECTION, FEASIBILITY STUDIES, MATHEMATICAL ANALYSIS, PATTERN RECOGNITION, PROBABILITY, STATISTICAL ANALYSIS, THEORY

Distribution Statement : APPROVED FOR PUBLIC RELEASE