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A Blind Source Separation Algorithm with Linear Prediction Filters

机译:线性预测滤波器的盲源分离算法

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摘要

In this paper the theoretical analysis about why to be able to guarantee source separation by blind source separation (BSS) algorithms after linear prediction filtering is presented , and the concept of the linear prediction filter (LPF) application is illustrated. The simulation results verify the derivation of this paper and show that linear prediction analysis can be used in blind source separation for instantaneous mixtures and convolutive mixtures. For the convolutive mixtures, when the separated speech quality is improved, the separation performance is reduced a little.
机译:本文提出了为什么在线性预测滤波后为什么能够通过盲源分离(BSS)算法保证源分离的理论分析,并说明了线性预测滤波器(LPF)的应用概念。仿真结果验证了本文的推导,表明线性预测分析可用于瞬时混合物和卷积混合物的盲源分离。对于回旋混合物,当提高分离语音质量时,分离性能会有所降低。

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