A Fixed Point Algorithm for Blind Identification of Underdetermined Mixtures
In this paper, we consider the problem of blind identification in the underdetermined instantaneous mixtures case, where there are more sources than sensors. Recently, a simultaneous matrix diagonalization (SMD)-based method has been proposed without any need of sparsity assumption on sources. Instead of using SMD technique, we propose a fixed point algorithm, which estimates the columns of the mixing matrix sequentially one by one. Computer simulations are presented in order to demonstrate that the proposed algorithm has the ability to identify the mixing matrix, and its performance is comparable to that of SMD-based algorithm.
Blind identification fixed point algorithm underdetermined mixtures parallel factor (PARAFAC) analysis simultaneous matrix diagonalization (SMD)
Mingjian Zhang
School of Automation, Guangdong University of Technology, Guangzhou, 510006
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
2625-2628
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）