DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, SJ | - |
dc.date.accessioned | 2017-07-19T13:43:58Z | - |
dc.date.available | 2017-07-19T13:43:58Z | - |
dc.date.created | 2017-02-21 | - |
dc.date.issued | 1998-04-30 | - |
dc.identifier.issn | 0013-5194 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/37481 | - |
dc.description.abstract | Differential learning algorithms for decorrelation and independent component analysis (ICA) are presented. It is shown that the proposed differential Hebbian-type learning algorithms are able to successfully decorrelate the non-zero mean-valued data without any preprocessing Differential learning is also applied for independent component analysis (ICA) so that non-zero mean-valued source signals can be recovered without any preprocessing It is demonstrated that modified ICA algorithms using differential learning have a superior performance compared to conventional ICA algorithms for the case where the mean values of source signals are non-zero and are changing. | - |
dc.language | English | - |
dc.publisher | ELECTRONICS LETTERS | - |
dc.relation.isPartOf | ELECTRONICS LETTERS | - |
dc.title | Differential Hebbian-type learning algorithms for decorrelation and independent component analysis | - |
dc.type | Article | - |
dc.identifier.doi | 10.1049/EL:19980636 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | ELECTRONICS LETTERS, v.34, no.9, pp.300 - 301 | - |
dc.identifier.wosid | 000073847300054 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 301 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 300 | - |
dc.citation.title | ELECTRONICS LETTERS | - |
dc.citation.volume | 34 | - |
dc.contributor.affiliatedAuthor | Choi, SJ | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 7 | - |
dc.type.docType | Article | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
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