Multi-way space-time-wave-vector analysis for EEG source separation

Signal Processing

Volumn 92, Issue 4, 2012, Pages 1021-1031

  Becker, Hanna ^a,b   Comon, Pierre ^b   Albera, Laurent ^c,d   Haardt, Martin ^a   Merlet, Isabelle ^c,d  

^a ILMENAU UNIVERSITY OF TECHNOLOGY   (Germany)

^b UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

^c INSERM   (France)

^d UNIVERSITÉ DE RENNES 1   (France)

Author keywords

CanDecomp ParaFac; Canonical polyadic decomposition; EEG; LORETA; Source localization; Space time frequency space time wave vector analysis

Indexed keywords

BINARY COEFFICIENT; CANDECOMP; DIPOLE MODEL; DISTRIBUTED SOURCES; LORETA; MATCHING PURSUIT; MEASURED DATA; PARAFAC; PRE-PROCESSING STEP; SOURCE ANALYSIS; SOURCE LOCALIZATION; SOURCE SEPARATION; SPACE-TIME-FREQUENCY/SPACE-TIME-WAVE-VECTOR ANALYSIS; TIME SIGNALS;

COMPUTER SIMULATION; ELECTRIC POTENTIAL; ELECTROENCEPHALOGRAPHY;

VECTOR SPACES;

EID: 83955162378     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2011.10.014     Document Type: Article

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