@inproceedings{65151d573744449f85fc34d624bab136,
title = "Improving nonparametric detectors via stochastic resonance",
abstract = "This paper investigates the problem of stochastic resonance in some non-parametric detection schemes such as the sign detector, Wilcoxon detector and dead-zone limiter detector. Detection performance comparisons are made between the original detectors and noise modified detectors. Potential improvement of detection performance via stochastic resonance (SR) for each detection scheme is determined. The optimal SR noise for the sign detector is derived. Asymptotic detection performance is evaluated for the three detectors. For the finite sample size problem, we demonstrate improvability via some detection examples where the detection performance of these detectors can be improved when suitable noise is added.",
keywords = "Hypothesis testing, Nonparametric detection, Stochastic resonance",
author = "Chen Hao and Varshney, {Pramod K.} and Steven Kay and Michels, {James H.}",
year = "2006",
doi = "10.1109/CISS.2006.286430",
language = "English (US)",
isbn = "1424403502",
series = "2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "56--61",
booktitle = "2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings",
note = "2006 40th Annual Conference on Information Sciences and Systems, CISS 2006 ; Conference date: 22-03-2006 Through 24-03-2006",
}