Defect Detection in Correlated Noise

dc.contributor.author Dogandžić, Aleksandar
dc.contributor.author Dogandžić, Aleksandar
dc.contributor.author Eua-Anant, Nawanat
dc.contributor.department Electrical and Computer Engineering
dc.date 2018-02-15T00:12:17.000
dc.date.accessioned 2020-06-30T02:03:17Z
dc.date.available 2020-06-30T02:03:17Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2004
dc.date.embargo 2014-10-08
dc.date.issued 2004-01-01
dc.description.abstract <p>We present methods for detecting NDE defect signals in correlated noise having unknown covariance. The proposed detectors are derived using the statistical theory of generalized likelihood ratio (GLR) tests and multivariate analysis of variance (MANOVA). We consider both real and complex data models. To allow accurate estimation of the noise covariance, we incorporate secondary data containing only noise into detector design. Probability distributions of the GLR test statistics are derived under the null hypothesis, i.e. assuming that the signal is absent, and used for detector design. We apply the proposed methods to simulated and experimental data and demonstrate their superior performance compared with the detectors that neglect noise correlation.</p>
dc.description.comments <p>The following article appeared in <em>AIP Conference Proceedings</em> 700 (2004): 628 and may be found at doi:<a href="http://dx.doi.org/10.1063/1.1711680" target="_blank">10.1063/1.1711680</a>. </p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ece_pubs/39/
dc.identifier.articleid 1040
dc.identifier.contextkey 6217151
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ece_pubs/39
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/21096
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ece_pubs/39/2004_Dogandzic_DefectDetection.pdf|||Fri Jan 14 23:54:34 UTC 2022
dc.source.uri 10.1063/1.1711680
dc.subject.disciplines Electrical and Computer Engineering
dc.subject.disciplines Engineering Physics
dc.subject.disciplines Multivariate Analysis
dc.subject.keywords Multivariate analysis
dc.subject.keywords nondestructive testing
dc.subject.keywords physics demonstrations
dc.subject.keywords probability theory
dc.subject.keywords statistical analysis
dc.title Defect Detection in Correlated Noise
dc.type article
dc.type.genre conference
dspace.entity.type Publication
relation.isAuthorOfPublication c910f7d3-c386-4c37-8143-4e653a539aa9
relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff
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