首先提出了一种解决盲辨识问题的算法，然后利用辨识得到的系统模型对源输入信号进行反卷积恢复。
The blind inverse identification arithmetic is proposed firstly, and then the input source signal is restored by the deconvolution method using the identified system model.
讨论一种非平稳卷积混合声音信号盲分离算法。
This paper discusses a blind separation algorithm of non-stationary convolved sounds mixtures.
在用带有噪声的信号进行反卷积时，没有严格的解，必须采用滤波器方能得到稳定、平滑的估计解。
When deconvoluting the signal with noise, there are no exact solutions, so we must use filter to get stable and smooth estimated solutions.
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