Second-order blind source separation in the Fourier space of data

Danielle Nuzillard; Jean-Marc Nuzillard

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Second-order blind source separation in the Fourier space of data

机译：数据傅立叶空间中的二阶盲源分离

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摘要

A variant of the second-order blind identification (SOBI) algorithm is described. It achieves blind source separation of data whose inverse Fourier transform presents the required correlation properties. In a former approach, mixtures were separated using an inverse FT-SOBI-FT processing sequence. The same result is obtained using a new algorithm, named f-SOBI, based on an indirect evaluation of signal correlation functions. The relationship between both approaches is discussed. Their equivalence is established when an appropriate definition of correlation functions in SOBI is used, instead of the currently implemented one.

机译：描述了二阶盲识别（SOBI）算法的一种变体。它实现了数据的盲源分离，其傅里叶逆变换呈现了所需的相关属性。在以前的方法中，使用逆FT-SOBI-FT处理顺序分离混合物。使用一种新的算法f-SOBI，可以基于信号相关函数的间接评估获得相同的结果。讨论了两种方法之间的关系。当使用SOBI中的相关函数的适当定义而不是当前实现的相关函数时，即可确定它们的等效性。

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来源
《Signal processing》 |2003年第3期|p.627-631|共5页
作者
Danielle Nuzillard; Jean-Marc Nuzillard;
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作者单位

University of Reims, Moulin de la Housse, BP 1039, 51687 Reims Cedex 2, France;

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原文格式 PDF
正文语种 eng
中图分类通信;
关键词
independent component analysis; blind source separation; second-order blind identification; correlation matrices;

机译：独立分量分析;盲源分离;二阶盲识别;相关矩阵;

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Second-order blind source separation in the Fourier space of data

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