Neuroelectromagnetic imaging of correlated sources using a novel subspace penalized sparse learning

Localization of brain signal sources from EEG/MEG has been an active area of research [1]. Currently, there exists a variety of approaches such as MUSIC [2], M-SBL [3], and etc. These algorithms have been applied for various clinical examples and demonstrated excellent performances. However, when th...

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Bibliographische Detailangaben

Hauptverfasser:	Jae Jun Yoo, Jongmin Kim, Chang-Hwan Im, Jong Chul Ye
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Brain modeling EEG/MEG source imaging Electroencephalography Imaging joint sparse recovery M-SBL Multiple signal classification MUSIC Position measurement Signal processing algorithms
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