Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures
Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures
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DOI：
10.1109/iscas.2006.1693553
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发表时间：
2006-05
期刊：
影响因子：
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通讯作者：
M. Kawamoto;K. Kohno;Y. Inouye
中科院分区：
文献类型：
--
作者：
M. Kawamoto;K. Kohno;Y. Inouye
提出了一种基于参考信号准则的特征向量算法，并将伊娃应用于瞬时混合信号的盲源分离。所提出的伊娃的工作原理是，源信号同时从它们的混合物中分离出来。这是一个新的结果，尚未得到常规研究的澄清。通过对该准则的修正，得到了相应的对高斯噪声具有鲁棒性的伊娃。仿真结果表明了所提出的EVA算法的有效性
This paper presents an eigenvector algorithm (EVA) derived from a criterion using reference signals, in which the EVA is applied to the blind source separation (BSS) of instantaneous mixtures. The proposed EVA works such that source signals are simultaneously separated from their mixtures. This is a new result, which has not been clarified by the conventional researches. Moreover, by modifying the criterion, the corresponding EVA which is robust to Gaussian noise is derived. Simulation results show the validity of the proposed EVAs