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Constrained CPD of Complex-Valued Multi-Subject fMRI Data via Alternating Rank-R and Rank-1 Least Squares

Complex-valued shift-invariant canonical polyadic decomposition (CPD) under a spatial phase sparsity constraint (pcsCPD) shows excellent separation performance when applied to band-pass filtered complex-valued multi-subject fMRI data. However, some useful information may also be eliminated when usin...

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Detalles Bibliográficos
Autores principales: Kuang, Li-Dan, Lin, Qiu-Hua, Gong, Xiao-Feng, Zhang, Jianming, Li, Wenjun, Li, Feng, Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613874/
https://www.ncbi.nlm.nih.gov/pubmed/35969549
http://dx.doi.org/10.1109/TNSRE.2022.3198679