AN ADAPTIVE FIXED-POINT IVA ALGORITHM APPLIED TO MULTI-SUBJECT COMPLEX-VALUED FMRI DATA

被引：0
|
作者：
Kuang, Li-Dan [1 ]
Lin, Qiu-Hua [1 ]
Gong, Xiao-Feng [1 ]
Cong, Fengyu [2 ,3 ]
Calhoun, Vince D. [4 ,5 ]
机构：
[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, Dept Biomed Engn, Dalian, Peoples R China
[3] Univ Jyvaskyla, Dept Math Informat Technol, Jyvaskyla, Finland
[4] Mind Res Network, Albuquerque, NM 87106 USA
[5] Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS | 2016年
关键词：
Terms Independent vector analysis (IVA); complex-valued fMRI data; non-circularity; subspace; nonlinearity; INDEPENDENT VECTOR ANALYSIS; PHASE; ICA;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Independent vector analysis (IVA) has exhibited great potential for the group analysis of magnitude-only fMRI data, but has rarely been applied to native complex-valued fMRI data. We propose an adaptive fixed-point IVA algorithm by taking into account the extremely noisy nature, large variability of the source component vector (SCV) distribution, and non-circularity of the complex-valued fMRI data. The multivariate generalized algorithm over a complex-valued IVA-G algorithm and several circular and noncircular fixed-point IVA variants.
引用
收藏
页码：714 / 718
页数：5
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  • [2] Adaptive independent vector analysis for multi-subject complex-valued fMRI data
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