Blind signal separation based on band division using QMF Bank

Kazuaki Matsushima, H. Matsumoto
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Abstract

Blind signal separation method is the method that the source signals are obtained by separating only the mixed signals. Generally, separation precision is lower when the basic method of blind signal separation is used for the sound signals. It is the cause that the power of the sound signals is concentrated in the low-frequency band. For the problem, we already considered that the method of the blind signal separation using QMF. Specifically, the mixed signals are divided into two frequency bands, and we perform suitable separation for each two bands. As the result, the conventional method has higher separation precision than the basic method. However, in the low-frequency band, power spectrum is not constant for frequency. Therefore, it is expected that the separation precision is higher than the conventional method by performing the suitable separation for each of signals based on the division to several narrow frequency bands on the low-frequency band. Then, in this paper, we propose the method that has higher separation precision and we evaluate the proposed method by computer simulation.
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基于QMF库分带的盲信号分离
盲信号分离方法是通过只分离混合信号来获得源信号的方法。一般情况下,对声信号采用盲信号分离的基本方法,分离精度较低。这是声信号的功率集中在低频段的原因。针对这个问题,我们已经考虑了利用QMF进行盲信号分离的方法。具体来说,我们将混合信号分为两个频段,并对每个频段进行适当的分离。结果表明,常规方法比基本方法具有更高的分离精度。然而,在低频频段,功率谱对于频率来说是不恒定的。因此,通过在低频段上划分为几个窄频带,对每个信号进行适当的分离,期望比传统方法的分离精度更高。在此基础上,提出了一种具有较高分离精度的方法,并通过计算机仿真对该方法进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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