Analog on-chip-learning for active noise canceling
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cho, JW | ko |
| dc.contributor.author | Lee, Soo-Young | ko |
| dc.date.accessioned | 2013-03-02T22:28:45Z | - |
| dc.date.available | 2013-03-02T22:28:45Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 2000-03 | - |
| dc.identifier.citation | NEUROCOMPUTING, v.31, no.1-4, pp.185 - 190 | - |
| dc.identifier.issn | 0925-2312 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/75886 | - |
| dc.description.abstract | Active noise canceling is demonstrated by analog neuro-chips with on-chip learning capability. The developed neuro-chip faithfully incorporates the error-backpropagation learning rule. Without any digital signal processor the developed system successfully compensated for nonlinear distortion of loudspeakers as well as for acoustic multi-path fading and random noises in real time. (C) 2000 Elsevier Science B.V. All rights reserved. | - |
| dc.language | English | - |
| dc.publisher | ELSEVIER SCIENCE BV | - |
| dc.title | Analog on-chip-learning for active noise canceling | - |
| dc.type | Article | - |
| dc.identifier.wosid | 000086007800013 | - |
| dc.identifier.scopusid | 2-s2.0-0034056442 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 31 | - |
| dc.citation.issue | 1-4 | - |
| dc.citation.beginningpage | 185 | - |
| dc.citation.endingpage | 190 | - |
| dc.citation.publicationname | NEUROCOMPUTING | - |
| dc.contributor.localauthor | Lee, Soo-Young | - |
| dc.contributor.nonIdAuthor | Cho, JW | - |
| dc.type.journalArticle | Letter | - |
| dc.subject.keywordAuthor | neuro-chip | - |
| dc.subject.keywordAuthor | on-chip learning | - |
| dc.subject.keywordAuthor | active noise canceling | - |
| dc.subject.keywordAuthor | backpropagation | - |
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