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Closed-form semi-blind separation of three sources from three real-valued instantaneous linear mixtures via quaternions

机译:通过四季度从三个实值的瞬时线性混合物中闭合三种来源的半盲分离

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In the problem of blind source separation from instantaneous linear mixtures, a unitary transformation remains unknown after second-order spatial whitening. We present a novel approach for the identification of the orthogonal matrix in the real-valued three-signal scenario which, in contrast to existing procedures, operates in a single closed-form step, with no iterations. The new approach is based on intuitive geometrical notions and the theory of quaternions, and develops into a practical semi-blind method requiring certain prior knowledge on the source statistics. A simple numerical experiment illustrates the proposed algorithm.
机译:在瞬时线性混合物中盲源分离的问题中,二阶空间美白后仍然未知。我们介绍了一种用于识别实际三信号场景中的正交矩阵的新方法,其与现有程序相比,以单个闭合的步骤操作,没有迭代。新方法是基于直观的几何概念和四元素理论,并发展成一个实用的半盲方法,需要某些先前了解源统计信息。一个简单的数值实验说明了所提出的算法。

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