Adaptive noise cancelling based on independent component analysis
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Park, HM | ko |
| dc.contributor.author | Oh, SH | ko |
| dc.contributor.author | Lee, Soo-Young | ko |
| dc.date.accessioned | 2009-09-03T05:29:17Z | - |
| dc.date.available | 2009-09-03T05:29:17Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 2002-07 | - |
| dc.identifier.citation | ELECTRONICS LETTERS, v.38, no.15, pp.832 - 833 | - |
| dc.identifier.issn | 0013-5194 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/10964 | - |
| dc.description.abstract | A method for adaptive noise cancelling based on independent component analysis (ICA) is presented. Although the conventional least-mean-squares (LMS) algorithm removes noise components based on second-order correlation, the proposed algorithm can utilise higher-order statistics. Experimental results show that the proposed algorithm provides considerable performance improvement. | - |
| dc.description.sponsorship | This work was supported by the Brain Science & Engineering Research Program sponsored by Korean Ministry of Science and Technology. | en |
| dc.language | English | - |
| dc.language.iso | en_US | en |
| dc.publisher | IEE-INST ELEC ENG | - |
| dc.title | Adaptive noise cancelling based on independent component analysis | - |
| dc.type | Article | - |
| dc.identifier.wosid | 000177339100045 | - |
| dc.identifier.scopusid | 2-s2.0-0037130416 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 38 | - |
| dc.citation.issue | 15 | - |
| dc.citation.beginningpage | 832 | - |
| dc.citation.endingpage | 833 | - |
| dc.citation.publicationname | ELECTRONICS LETTERS | - |
| dc.embargo.liftdate | 9999-12-31 | - |
| dc.embargo.terms | 9999-12-31 | - |
| dc.contributor.localauthor | Lee, Soo-Young | - |
| dc.contributor.nonIdAuthor | Park, HM | - |
| dc.contributor.nonIdAuthor | Oh, SH | - |
| dc.type.journalArticle | Article | - |
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