A1 Journal article (refereed)
Extracting multi-mode ERP features using fifth-order nonnegative tensor decomposition (2018)
Wang, D., Zhu, Y., Ristaniemi, T., & Cong, F. (2018). Extracting multi-mode ERP features using fifth-order nonnegative tensor decomposition. Journal of Neuroscience Methods, 308, 240-247. https://doi.org/10.1016/j.jneumeth.2018.07.020
JYU authors or editors
Publication details
All authors or editors: Wang, Deqing; Zhu, Yongjie; Ristaniemi, Tapani; Cong, Fengyu
Journal or series: Journal of Neuroscience Methods
ISSN: 0165-0270
eISSN: 1872-678X
Publication year: 2018
Volume: 308
Issue number: 0
Pages range: 240-247
Publisher: Elsevier BV
Publication country: Netherlands
Publication language: English
DOI: https://doi.org/10.1016/j.jneumeth.2018.07.020
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/59343
Keywords: EEG; signal processing
Free keywords: nonnegative tensor decomposition; CANDECOMP/PARAFAC; event-related potential; multi-mode features; component number selection
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2018
JUFO rating: 1