DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, B | - |
dc.contributor.author | Yoo, J | - |
dc.contributor.author | Park, P | - |
dc.date.accessioned | 2017-07-19T09:14:38Z | - |
dc.date.available | 2017-07-19T09:14:38Z | - |
dc.date.created | 2013-09-30 | - |
dc.date.issued | 2013-04-11 | - |
dc.identifier.issn | 0013-5194 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/34648 | - |
dc.description.abstract | A new bias-compensated normalised least mean square (NLMS) algorithm for parameter estimation with a noisy input is proposed. The algorithm is obtained from an approximated cost function based on the statistical properties of the input noise and involves a condition checking constraint to decide whether the weight coefficient vector must be updated. Simulation results show that the proposed algorithm is more robust and accurate than the conventional method. | - |
dc.language | English | - |
dc.publisher | INST ENGINEERING TECHNOLOGY-IET | - |
dc.relation.isPartOf | ELECTRONICS LETTERS | - |
dc.title | Bias-compensated normalised LMS algorithm with noisy input | - |
dc.type | Article | - |
dc.identifier.doi | 10.1049/EL.2013.0246 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | ELECTRONICS LETTERS, v.49, no.8 | - |
dc.identifier.wosid | 000321710100016 | - |
dc.date.tcdate | 2019-03-01 | - |
dc.citation.number | 8 | - |
dc.citation.title | ELECTRONICS LETTERS | - |
dc.citation.volume | 49 | - |
dc.contributor.affiliatedAuthor | Park, P | - |
dc.identifier.scopusid | 2-s2.0-84886743912 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 24 | - |
dc.description.scptc | 20 | * |
dc.date.scptcdate | 2018-05-121 | * |
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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