AN APPLICATION OF THE GENERALIZED NEYMAN-PEARSON FUZZY TEST TO STOCHASTIC-SIGNAL DETECTION

Authors
SON JC SONG I KIM SY PARK SI
Citation
Jc. Son et al., AN APPLICATION OF THE GENERALIZED NEYMAN-PEARSON FUZZY TEST TO STOCHASTIC-SIGNAL DETECTION, IEEE transactions on systems, man, and cybernetics, 23(5), 1993, pp. 1474-1481
Citations number
14
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Science Cybernetics","Engineering, Eletrical & Electronic
Journal title
IEEE transactions on systems, man, and cybernetics → ACNP
ISSN journal
00189472
Volume
23
Issue
5
Year of publication
1993
Pages
1474 - 1481
Database
ISI
SICI code
0018-9472(1993)23:5<1474:AAOTGN>2.0.ZU;2-F
Abstract
In the article an application of the fuzzy testing of hypothesis to th e stochastic-signal detection problem is considered when the signal-to -noise ratio approaches zero. We first obtain the general relationship between the test statistic of the locally optimum fuzzy detector and that of the locally optimum detector. Based on this result, the test s tatistic and structures of the locally optimum fuzzy detector for stoc hastic signals are obtained. Several aspects of the locally optimum fu zzy nonlinearity for stochastic signals are also described. Finally, p erformance characteristics of the locally optimum fuzzy detector are b riefly discussed.