ICA techniques for more sources than sensors

被引:17
作者
De Lathauwer, L [1 ]
De Moor, B [1 ]
Vandewalle, J [1 ]
机构
[1] Katholieke Univ Leuven, ESAT, EE Dept, SISTA,COSIC, B-3001 Louvain, Belgium
来源
PROCEEDINGS OF THE IEEE SIGNAL PROCESSING WORKSHOP ON HIGHER-ORDER STATISTICS | 1999年
关键词
D O I
10.1109/HOST.1999.778707
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper we derive algorithms to identify the mixing matrix in the context of an Independent Component Analysis with more sources than sensors. First, by exploiting the fact that for complex-valued observations, depending on the type of complex symmetry, 2 different fourth-order cumulants are available, we develop a technique that can cope with N(N + 1)/2 sources for only N sensors. Secondly, the technique presented in [2], based on a single cumulant, is modified to take both cumulants into account as well.
引用
收藏
页码:121 / 124
页数:4
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