A Signal Classification Network That Computes its Own Reliability

dc.contributor.author Ramuhalli, P.
dc.contributor.author Udpa, Lalita
dc.contributor.author Udpa, Satish
dc.date 2018-02-14T08:56:33.000
dc.date.accessioned 2020-06-30T06:50:21Z
dc.date.available 2020-06-30T06:50:21Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 1999
dc.date.issued 1999
dc.description.abstract <p>Automatic signal classification (ASC) systems are used extensively for signal interpretation in non-destructive evaluation (NDE) applications. Their popularity stems from the fact that they are capable of rapid analysis of large amounts of data. In addition, they offer more accurate and consistent data interpretation as well as allow storage of expert knowledge.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/qnde/1999/allcontent/110/
dc.identifier.articleid 3973
dc.identifier.contextkey 5820217
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath qnde/1999/allcontent/110
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/61534
dc.language.iso en
dc.source.uri 10.1007/978-1-4615-4791-4_110
dc.subject.keywords Electrical and Computer Engineering
dc.title A Signal Classification Network That Computes its Own Reliability
dc.type event
dc.type.genre article
dspace.entity.type Publication