Title :
Generalizations of the Sign Detector Based on Conditional Tests
Author :
Kassam, Saleem A. ; Thomas, John B.
Author_Institution :
University of Pennsylvania, Philadelphia
fDate :
5/1/1976 12:00:00 AM
Abstract :
Generalizations of the simple sign detector are considered for nonparametric detection. Nonparametric operation is obtained with only a symmetry assumption on the noise density functions, by basing the detectors on conditional statistical tests. The performance (both asymptotic and finite-sample, finite-signal) of the generalized sign detector is shown to be very good compared to the Wilcoxon detector and to the linear detector, whereas the detector structure remains simple.
Keywords :
Nonparametric detection; Communications Society; Density functional theory; Detectors; Parametric statistics; Probability; Signal detection; Size measurement; Statistical analysis; Statistical distributions; System testing;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOM.1976.1093333