Improving nonparametric detectors via stochastic resonance

Chen Hao; Pramod K. Varshney; Steven Kay; James H. Michels

doi:10.1109/CISS.2006.286430

Improving nonparametric detectors via stochastic resonance

Chen Hao, Pramod K. Varshney, Steven Kay, James H. Michels

Electrical Engineering Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

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.

Original language	English
Title of host publication	2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	56-61
Number of pages	6
ISBN (Print)	1424403502, 9781424403509
DOIs	https://doi.org/10.1109/CISS.2006.286430
State	Published - 2006
Event	2006 40th Annual Conference on Information Sciences and Systems, CISS 2006 - Princeton, NJ, United States Duration: 22 Mar 2006 → 24 Mar 2006

Publication series

Name	2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings

Conference

Conference	2006 40th Annual Conference on Information Sciences and Systems, CISS 2006
Country/Territory	United States
City	Princeton, NJ
Period	22/03/06 → 24/03/06

Keywords

Hypothesis testing
Nonparametric detection
Stochastic resonance

Access to Document

10.1109/CISS.2006.286430

Cite this

Hao, C., Varshney, P. K., Kay, S., & Michels, J. H. (2006). Improving nonparametric detectors via stochastic resonance. In 2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings (pp. 56-61). Article 4067776 (2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS.2006.286430

@inproceedings{63a5d06475a148c5bcf88342020c4256,

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",

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",

}

Hao, C, Varshney, PK, Kay, S & Michels, JH 2006, Improving nonparametric detectors via stochastic resonance. in 2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings., 4067776, 2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 56-61, 2006 40th Annual Conference on Information Sciences and Systems, CISS 2006, Princeton, NJ, United States, 22/03/06. https://doi.org/10.1109/CISS.2006.286430

Improving nonparametric detectors via stochastic resonance. / Hao, Chen; Varshney, Pramod K.; Kay, Steven et al.
2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2006. p. 56-61 4067776 (2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Improving nonparametric detectors via stochastic resonance

AU - Hao, Chen

AU - Varshney, Pramod K.

AU - Kay, Steven

AU - Michels, James H.

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

KW - Hypothesis testing

KW - Nonparametric detection

KW - Stochastic resonance

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U2 - 10.1109/CISS.2006.286430

DO - 10.1109/CISS.2006.286430

M3 - Conference contribution

AN - SCOPUS:44049103620

SN - 1424403502

SN - 9781424403509

T3 - 2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings

SP - 56

EP - 61

BT - 2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2006 40th Annual Conference on Information Sciences and Systems, CISS 2006

Y2 - 22 March 2006 through 24 March 2006

ER -

Hao C, Varshney PK, Kay S, Michels JH. Improving nonparametric detectors via stochastic resonance. In 2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2006. p. 56-61. 4067776. (2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings). doi: 10.1109/CISS.2006.286430

Improving nonparametric detectors via stochastic resonance

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Keywords

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