Accession Number : AD0441210


Title :   ON APPLIED DECISION THEORY,


Corporate Author : STANFORD UNIV CA STANFORD ELECTRONICS LABS


Personal Author(s) : Abramson, N ; Farison, J


Report Date : Sep 1962


Pagination or Media Count : 82


Abstract : This report is based on material from a Stanford University course (EE 252) on the application of statistical decision theory to signal detection, parameter estimation, and pattern recognition. The report is divided into nine parts: (1) Filters and Noise; (2) Sample Value Representation; (3) Detection of a Known Signal in Noise; (4) General Dual-Hypothesis Test; (5) Signal Detection with Mismatched Filters; (6) Detection of Signals with Random Parameters; (7) Test of a Finite Number of Hypothesis; (8) Estimation; (9) Discrete Wiener Filters. Part One provides a general review of classical methods of signal detection and parameter estimation. The rest of the report deals with the application of statistical decision theory to these problems. (Author)


Descriptors :   *DECISION THEORY , DETECTION , PATTERN RECOGNITION , MATCHED FILTERS , DATA PROCESSING , NOISE(RADAR) , SIGNAL TO NOISE RATIO , RADAR SIGNALS , RADAR INTERCEPTION


Distribution Statement : APPROVED FOR PUBLIC RELEASE