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Blind source separation based on time-domain optimization of a frequency-domain independence criterion

机译:基于频域独立性准则的时域优化的盲源分离

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摘要

A new technique for the blind separation of convolutive mixtures is proposed in this paper. Inspired by the works of Amari, Sabala , and Rahbar, we firstly start from the application of Kullback-Leibler divergence in frequency domain, and then we integrate Kullback-Leibler divergence over the whole frequency range of interest to yield a new objective function which turns out to be time-domain variable dependent. In other words, the objective function is derived in frequency domain which can be optimized with respect to time domain variables. The proposed technique has the advantages of frequency domain approaches and is suitable for very long mixing channels, but does not suffer from the local permutation problem as the separation is achieved in time-domain.
机译:本文提出了一种卷积混合物的盲分离新技术。受阿玛瑞(Amari),萨巴拉(Sabala)和拉赫巴尔(Rahbar)的启发,我们首先从频域上的Kullback-Leibler发散的应用开始,然后将Kullback-Leibler发散在整个感兴趣的频率范围内进行整合,以产生一个新的目标函数取决于时域变量。换句话说,目标函数是在频域中导出的,可以针对时域变量进行优化。所提出的技术具有频域方法的优点,并且适用于非常长的混合通道,但是由于在时域中实现了分离,因此没有局部排列问题。

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