Neuroelectromagnetic imaging of correlated sources using a novel subspace penalized sparse learning
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoo, Jae Jun | - |
dc.contributor.author | Kim, Jongmin | - |
dc.contributor.author | Im, Chang-Hwan | - |
dc.contributor.author | Ye, Jong Chul | - |
dc.date.accessioned | 2021-08-03T11:49:39Z | - |
dc.date.available | 2021-08-03T11:49:39Z | - |
dc.date.created | 2021-07-09 | - |
dc.date.issued | 2013-10 | - |
dc.identifier.issn | 1598-7833 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/46889 | - |
dc.description.abstract | Brain signal source localization from E/MEG has been an active research area. Currently, there exists var- ious approaches such as MUSIC and M-SBL. However, when the unknown sources are highly correlated, conventional algorithms often exhibit spurious reconstructions. To address the problem, we propose a new algorithm that generalizes M-SBL by exploiting the fundamental subspace geometry in the multiple measurement problem (MMV). Results show that the proposed method outperforms the existing methods even with a highly correlated source. ? 2013 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Neuroelectromagnetic imaging of correlated sources using a novel subspace penalized sparse learning | - |
dc.type | Conference | - |
dc.contributor.affiliatedAuthor | Im, Chang-Hwan | - |
dc.identifier.scopusid | 2-s2.0-84893549661 | - |
dc.identifier.bibliographicCitation | 2013 13th International Conference on Control, Automation and Systems, ICCAS 2013, pp.1628 - 1629 | - |
dc.relation.isPartOf | 2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 | - |
dc.relation.isPartOf | International Conference on Control, Automation and Systems | - |
dc.citation.title | 2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 | - |
dc.citation.startPage | 1628 | - |
dc.citation.endPage | 1629 | - |
dc.citation.conferencePlace | KO | - |
dc.citation.conferencePlace | Gwangju | - |
dc.citation.conferenceDate | 2013-10-20 | - |
dc.type.rims | CONF | - |
dc.description.journalClass | 1 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/6704191 | - |
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