The fast ICA algorithm is proposed to separate the rub-impact signal from the noise signal.

针对大背景噪声，本文提出采用快速ICA算法对碰摩与噪声信号进行分离。

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In this paper, proposed is the informax fast algorithm of ICA using information maximum likelihood estimation with the Newton iterate algorithm.

本文基于信息极大似然估计，采用牛顿迭代算法，建立了ICA的一种信息极大快速算法。

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Using maximum approximation of differential Negentropy, an objective function for ICA is introduced and a Fast-ICA algorithm based on maximum Negentropy is presented.

使用差分最大负平均信息量的方法，一个为ica的目标函数和一个快速ica算法在文中被提出。

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Using maximum approximation of differential Negentropy, an objective function for ICA is introduced and a Fast-ICA algorithm based on maximum Negentropy is presented.

使用差分最大负平均信息量的方法，一个为ica的目标函数和一个快速ica算法在文中被提出。

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