DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, P | - |
dc.contributor.author | Chang, M | - |
dc.contributor.author | Kong, N | - |
dc.date.accessioned | 2016-04-01T08:18:03Z | - |
dc.date.available | 2016-04-01T08:18:03Z | - |
dc.date.created | 2010-01-06 | - |
dc.date.issued | 2009-12 | - |
dc.identifier.issn | 1070-9908 | - |
dc.identifier.other | 2009-OAK-0000019659 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/27665 | - |
dc.description.abstract | This paper presents a method of scheduling stepsizes for the normalized least-mean-squares (SS-NLMS) algorithm. Geometrically interpreting the mean square deviation (MSD) learning curve leads to establishing an objective curve and to constructing a lookup table of stepsizes in order for the MSD to follow the curve. The SS-NLMS shows not only good performance but also robustness with respect to different signal-to-noise ratio (SNR) in measurement noise and different correlation in input signals with a very small number of online computations. Moreover, the scalability of the tabled stepsize with respect to the number of taps is described. For the efficient memory usage in practice, a modified version replaces the tabled stepsizes by down-sampled stepsizes with no performance degradation. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.relation.isPartOf | IEEE SIGNAL PROCESSING LETTERS | - |
dc.subject | Adaptive filter | - |
dc.subject | normalized least mean square (NLMS) | - |
dc.subject | scheduled stepsize | - |
dc.title | Scheduled-Stepsize NLMS Algorithm | - |
dc.type | Article | - |
dc.contributor.college | 정보전자융합공학부 | - |
dc.identifier.doi | 10.1109/LSP.2009.2026197 | - |
dc.author.google | Park, P | - |
dc.author.google | Chang, M | - |
dc.author.google | Kong, N | - |
dc.relation.volume | 16 | - |
dc.relation.issue | 12 | - |
dc.relation.startpage | 1055 | - |
dc.relation.lastpage | 1058 | - |
dc.contributor.id | 10055004 | - |
dc.relation.journal | IEEE SIGNAL PROCESSING LETTERS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | IEEE SIGNAL PROCESSING LETTERS, v.16, no.12, pp.1055 - 1058 | - |
dc.identifier.wosid | 000269841900003 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 1058 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 1055 | - |
dc.citation.title | IEEE SIGNAL PROCESSING LETTERS | - |
dc.citation.volume | 16 | - |
dc.contributor.affiliatedAuthor | Park, P | - |
dc.identifier.scopusid | 2-s2.0-70349600873 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 22 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Adaptive filter | - |
dc.subject.keywordAuthor | normalized least mean square (NLMS) | - |
dc.subject.keywordAuthor | scheduled stepsize | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
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