Analysis of signal separation and distortion analysis in feedforward blind source separation for convolutive mixture
Analysis of signal separation and distortion analysis in feedforward blind source separation for convolutive mixture
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DOI：
10.1109/mwscas.2004.1354328
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发表时间：
2004-07
期刊：
影响因子：
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通讯作者：
K. Nakayama;A. Hirano;Y. Dejima
中科院分区：
文献类型：
--
作者：
K. Nakayama;A. Hirano;Y. Dejima
本文分析了卷积混合环境下前馈盲源分离（BSS）的信号分离和失真。在BSS学习中，调整分离块以使输出信号统计独立。这种调整的一个方向是在单个输出处仅提取一个信号源。另一个方向是使输出信号频谱为白色。第二方向引起信号失真并且与第一方向冲突。这种冲突妨碍了信号分离。这些关系还取决于混合中的脉冲响应的长度和分离块中的滤波器长度。这些属性进行了理论分析，并通过使用白色信号源和语音信号源的仿真研究。
This paper analyzes signal separation and distortion in a feedforward blind source separation (BSS) applied to convolutive mixture environment. In the BSS learning, a separation block is adjusted so as to make the output signals statistically independent. One direction for this adjustment is to extract only one signal source at a single output. The other direction is to make the output signal spectra white. The second direction causes signal distortion and conflicts with the first direction. This confliction prevent signal separation. These relations are also dependent on a length of the impulse responses in the mixture and the filter length in the separation block. These properties are theoretically analyzed and are investigated through simulations using the white signal sources and the speech signal sources.