DC Field | Value | Language |
---|---|---|
dc.contributor.author | Eom, Kwang-Seop | ko |
dc.contributor.author | Jun, Byung-Eul | ko |
dc.contributor.author | Park, Dong-Jo | ko |
dc.date.accessioned | 2013-03-02T12:35:14Z | - |
dc.date.available | 2013-03-02T12:35:14Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1996-12 | - |
dc.identifier.citation | ELECTRONICS LETTERS, v.32, no.25, pp.2311 - 2312 | - |
dc.identifier.issn | 0013-5194 | - |
dc.identifier.uri | http://hdl.handle.net/10203/73542 | - |
dc.description.abstract | A new least-squares algorithm based on the Kalman filter is presented. The algorithm has a self-perturbing term added to the covariance matrix, which keeps the gain vector from going infinitely small. It not only has a fast tracking capability, but also is immunised against measurement noise. The effectiveness of the algorithm are confirmed through computer simulations. | - |
dc.language | English | - |
dc.publisher | IEE-INST ELEC ENG | - |
dc.title | Fast tracking and noise-immunised RLS algorithm based on Kalman filter | - |
dc.type | Article | - |
dc.identifier.wosid | A1996WT31200015 | - |
dc.identifier.scopusid | 2-s2.0-0030571346 | - |
dc.type.rims | ART | - |
dc.citation.volume | 32 | - |
dc.citation.issue | 25 | - |
dc.citation.beginningpage | 2311 | - |
dc.citation.endingpage | 2312 | - |
dc.citation.publicationname | ELECTRONICS LETTERS | - |
dc.contributor.localauthor | Park, Dong-Jo | - |
dc.contributor.nonIdAuthor | Eom, Kwang-Seop | - |
dc.contributor.nonIdAuthor | Jun, Byung-Eul | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Kalman filters | - |
dc.subject.keywordAuthor | least squares approximations | - |
dc.subject.keywordAuthor | signal processing | - |
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