Blind identification and source separation in 2 x 3 under-determined mixtures

被引：66

作者：

Comon, P ^{[1
]}

机构：

[1] Univ Nice, Lab I3S, Sophia Antipolis, France

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2004年 / 52卷 / 01期

关键词：

blind identification; high-order statistics; source separation and extraction; tensor decomposition; under-determined mixtures;

D O I：

10.1109/TSP.2003.820073

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Under-determined mixtures are characterized by the fact that they have more inputs than outputs, or, with the antenna array processing terminology, more sources than sensors. The problem addressed is that of identifying and inverting the mixture, which obviously does not admit a linear inverse. Identification is carried out with the help of tensor canonical decompositions. On the other hand, the discrete distribution of the sources is utilized for performing the source extraction, the under-determined mixture being either known or unknown. The results presented in this paper are limited to two-dimensional (2-D) mixtures of three sources.

引用

页码：11 / 22

页数：12

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