Blind separation of convolved mixtures in the frequency domain
Blind separation of convolved mixtures in the frequency domain
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DOI：
10.1016/s0925-2312(98)00047-2
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发表时间：
1998-11
期刊：
影响因子：
6
通讯作者：
Paris Smaragdis
中科院分区：
文献类型：
--
作者：
Paris Smaragdis
在本文中，我们采用信息理论的算法，以前用于分离瞬时混合源，分离卷积混合在频域中。据观察，时域中的卷积混频对应于频域中的瞬时混频。这种混合可以使用比最近开发的算法更简单和更鲁棒的算法来反演。这种方法的优点是提高了效率和更好的收敛特性。
In this paper we employ information theoretic algorithms, previously used for separating instantaneous mixtures of sources, for separating convolved mixing in the frequency domain. It is observed that convolved mixing in the time domain corresponds to instantaneous mixing in the frequency domain. Such mixing can be inverted using simpler and more robust algorithms than the ones recently developed. Advantages of this approach are improved efficiency and better convergence features.