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首页> 外文期刊>The Open Cybernetics & Systemics Journal >Research and Application of Noise Blind Mixed Signal On-line SeparationAlgorithm Based on ICA
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Research and Application of Noise Blind Mixed Signal On-line SeparationAlgorithm Based on ICA

机译:基于ICA的噪声盲混合信号在线分离算法的研究与应用

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Independent Component Analysis (ICA) is a kind of novel multi-dimensional statistical analysis method. Itscharacteristic is to recover the independent source signal components from the multi-channel observation signal. In thispaper, based on the model of independent component analysis, we used the gradient style algorithm to separate the noiseblind mixed electrical signal. In the application of gradient algorithm, in order to solve the compromise between convergencerate and stability performance of the natural gradient blind source separation algorithm, we adopted the variablestep size natural gradient algorithm to complete the noise electrical signal on-line blind source separation simulation,which provides an effective method to realize the multi-sensor collection signal.
机译:独立分量分析(ICA)是一种新颖的多维统计分析方法。其特征是从多通道观测信号中恢复独立的源信号分量。在本文中,基于独立分量分析模型,我们使用梯度样式算法分离了噪声盲混合电信号。在梯度算法的应用中,为了解决自然梯度盲源分离算法的收敛性和稳定性之间的折衷问题,采用可变步长自然梯度算法完成噪声电信号在线盲源分离的仿真,提供了一种实现多传感器采集信号的有效方法。

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