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A novel online algorithm for blind source separation with unknown number of sources

机译:一种未知数目的盲源分离的新型在线算法

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摘要

A novel algorithm which can online estimate number of sources and separate sources is proposed to solve the Blind Source Separation problem with unknown number of sources. First create a discriminator and threshold, and adjust the estimating number of sources via comparing the size of discriminator and threshold gradually to converge at the true number. Then use a modified natural gradient algorithm to separate the sources. Computer simulation verify the algorithm is effective and perform better than traditional algorithm.
机译:提出了一种可以在线估计光源数量和分离光源数量的新算法,以解决光源数量未知的盲源分离问题。首先创建一个鉴别器和阈值,然后通过逐渐比较鉴别器和阈值的大小来调整源估计数,以收敛到真实数。然后使用改进的自然梯度算法来分离源。计算机仿真验证了该算法的有效性,并比传统算法具有更好的性能。

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