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.relation.ispartofseries | Review of Progress in Quantitative Nondestructive Evaluation | |
| 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 | |
| relation.isSeriesOfPublication | 289a28b5-887e-4ddb-8c51-a88d07ebc3f3 |