Testing for Nongaussian Fluctuations in Grain Noise

dc.contributor.author Neal, Steven
dc.contributor.author Donohoe, Kevin
dc.date 2018-02-14T07:08:30.000
dc.date.accessioned 2020-06-30T06:44:16Z
dc.date.available 2020-06-30T06:44:16Z
dc.date.copyright Mon Jan 01 00:00:00 UTC 1996
dc.date.issued 1996
dc.description.abstract <p>In ultrasonic nondestructive evaluation (NDE), grain noise corrupts the scattered wave field from a flaw in a polycrystalline material. Many probabilistic approaches associated with flaw detection and characterization utilize stochastic models in which grain noise is assumed uncorrected and zero-mean Gaussian distributed. Typically, the Gaussian assumptions is justified via heuristic arguments based on the central limit theorem. This paper presents the kurtosis test and the Shapiro-Wilk W test as methods to quantitatively test time domain noise ensembles for deviations from Gaussian statistics. We will establish, through the application of these hypothesis tests to grain noise, a quantitative tool which can be used to consider “how Gaussian” grain noise signals must be for Gaussian noise based signal processing procedures to out perform alternative approaches.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/qnde/1996/allcontent/103/
dc.identifier.articleid 3147
dc.identifier.contextkey 5807210
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath qnde/1996/allcontent/103
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/60664
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/qnde/1996/allcontent/103/1996_Neal_TestingNongaussian.pdf|||Fri Jan 14 18:17:52 UTC 2022
dc.source.uri 10.1007/978-1-4613-0383-1_103
dc.subject.disciplines Signal Processing
dc.title Testing for Nongaussian Fluctuations in Grain Noise
dc.type event
dc.type.genre article
dspace.entity.type Publication
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