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A new algorithm on source-signal estimation and separation in reverberant space

机译:混响空间中信源信号估计与分离的新算法

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This paper presents an algorithm to perform source-signal estimation and separation in reverberant environment without knowing the properties of the channels. The receiver signals in our model are represented as a linear combination of filtered and delayed versions of signals of each source. The algorithm requires a reference vector to determine the channel properties. Basing on the estimated channel parameter matrices, the estimation and separation of source signals can then be achieved by a recurrence formula. Two examples are given to illustrate the validity of our algorithm.
机译:本文提出了一种在不了解信道特性的情况下,在混响环境中执行源信号估计和分离的算法。我们模型中的接收器信号表示为每个源信号的滤波和延迟版本的线性组合。该算法需要参考向量来确定通道属性。基于估计的信道参数矩阵,然后可以通过递归公式来实现源信号的估计和分离。给出两个例子来说明我们算法的有效性。

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