在许多盲信号源分离算法中，大多需要选择合适的非线性函数或者需要计算信号的高阶统计量。

In many algorithms for blind source separation, most of them must select nonlinear function or compute high-order statistical values.

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提出了一种新的信号源盲分离算法。

A new blind source separation (BSS) algorithm is proposed.

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将其用于盲源分离，通过实例证明了该方法的正确性和有效性，从而解决了盲分离中信号源个数的估计问题，为盲源分离技术的应用进一步奠定了基础。

The validity of the method in BSS is proved through experiments. Thus the method can solve the problem of estimation of signal number in BSS, it paves the way to wider application of BSS methods.

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