Iterative phase reconstruction of wiener filtered signals
Iterative phase reconstruction of wiener filtered signals
复制标题
维纳滤波信号的迭代相位重建
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
L. Daudet
中科院分区：
文献类型：
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作者：
Nicolas Sturmel;L. Daudet
本文论述了欠定盲源分离的框架下，相位估计，使用估计的频谱图的源及其相关的维纳滤波器。通过对维纳掩模进行阈值处理，在频谱图上定义了两个域：一个置信域，其中相位保持为混合物的相位，以及其补充，其中相位用类似于广泛使用的Griffin和Lim技术的投影进行更新。我们表明，这种简单的技术，参数的选择结果在一个简单的权衡失真和干扰。实验结果表明，该技术带来了显着的改进，而经典的维纳滤波器是远远快于其他迭代方法。
This paper deals with phase estimation in the framework of underdetermined blind source separation, using an estimated spectrogram of the source and its associated Wiener filter. By thresholding the Wiener mask, two domains are defined on the spectrogram : a confidence domain where the phase is kept as the phase of the mixture, and its complement where the phase is updated with a projection similar to the widely-used Griffin and Lim technique. We show that with this simple technique, the choice of parameters results in a simple trade-off between distortion and interference. Experiments show that this technique brings significant improvements over the classical Wiener filter, while being much faster than other iterative methods.