Deconvolution Processing for Flaw Signatures

dc.contributor.author Furgason, E.
dc.contributor.author Twyman, R.
dc.contributor.author Newhouse, V.
dc.date 2018-02-13T16:50:09.000
dc.date.accessioned 2020-06-30T01:27:34Z
dc.date.available 2020-06-30T01:27:34Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 1978
dc.date.embargo 2013-11-01
dc.date.issued 1978-05-01
dc.description.abstract <p>The ultimate resolution of all ultrasonic flaw detection systems is limited by transducer response. Although the system output contains detailed information about the target structure, these details are masked by the system characteristics. Since the output can be described as the convolution of the target response and the impulse response of the system, it should- in principle - be possible to reverse this operation and extract the target response. In practice, it is found that the presence of even relatively small amounts of noise make the deconvolution process impossible. If, however, the flaw detection system has an extremely high output signal-to-noise ratio it is possible to use estimation techniques in the deconvolution process to achieve a good approximation to the actual target response. Results are presented that demonstrate these techniques applied to both simulated and experimental data. Coupling deconvolution processing with feature extraction is shown to yield an order of magnitude increase in range resolution.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/cnde_yellowjackets_1977/54/
dc.identifier.articleid 1051
dc.identifier.contextkey 4784780
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath cnde_yellowjackets_1977/54
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/15942
dc.language.iso en
dc.relation.ispartofseries Interdisciplinary Program for Quantitative Flaw Definition Annual Reports
dc.source.bitstream archive/lib.dr.iastate.edu/cnde_yellowjackets_1977/54/1977_YellowJacket_051_Furgason_DeconvolutionProcessing.pdf|||Sat Jan 15 00:52:35 UTC 2022
dc.subject.disciplines Materials Science and Engineering
dc.subject.keywords Nondestructive Evaluation
dc.title Deconvolution Processing for Flaw Signatures
dc.type article
dc.type.genre 08_new_technology_roots
dspace.entity.type Publication
relation.isSeriesOfPublication 43920e40-d127-4f4c-9087-dc709815fe7f
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