Browse

Robust sequential detectors employing an order statistic prefilter

DC Field Value Language
dc.contributor.authorLee, Yong-Hwan-
dc.contributor.authorKim, Seung-Jun-
dc.date.accessioned2009-08-07T06:51:55Z-
dc.date.available2009-08-07T06:51:55Z-
dc.date.issued1998-04-01-
dc.identifier.citationIEE Proc.-Vis. Image Signal Process., Vol 145, No 2, April 1998, pp.82-87en
dc.identifier.issn1350-245X-
dc.identifier.urihttps://hdl.handle.net/10371/6520-
dc.description.abstractAbstract: The authors propose robust detection
schemes for detecting signals corrupted by
additive non-Gaussian noise by employing an
order statistic filter (OSF) as a preprocessor. The
OSF can effectively suppress non-Gaussian noise
components, but its output characteristics are not
easy for mathematical manipulation due to its
nonlinear operation. To alleviate difficulty in the
analytical design of the detector, the output
variance of the OSF is approximated by a
piecewise linear model. The sequential detectors
are designed using the sequential probability ratio
test (SPRT) and truncated SPRT (TSPRT)
schemes. The performance of the proposed
detectors is compared to that of other robust
detectors in terms of the sample size required for
given false alarm and miss detection probabilities.
Finally, analytical results are verified by
computer simulation.
en
dc.description.sponsorshipKEPCO, Korea,
under Grant EESRI-94042
en
dc.language.isoen-
dc.publisherInstitution of Engineering and Technologyen
dc.subjectSequential detectorsen
dc.subjectOrder statistic filtersen
dc.subjectSample sizesen
dc.subjectAdditive non-Gaussian noiseen
dc.titleRobust sequential detectors employing an order statistic prefilteren
dc.typeArticleen
dc.contributor.AlternativeAuthor이용환-
dc.contributor.AlternativeAuthor김승준-
dc.identifier.doi10.1049/ip-vis:19981706-
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Electrical and Computer Engineering (전기·정보공학부)Journal Papers (저널논문_전기·정보공학부)
Files in This Item:
There are no files associated with this item.
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse