There are two key problems in the field of EEG, EEG forward problem and EEG inverse problem.

脑电研究领域的两个关键问题是脑电正问题和脑电逆问题。

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In this paper, based on the fourth-order cumulant matrix, a new sub-space decomposition algorithm is proposed for the EEG inverse problem.

基于四阶累积量矩阵的子空间分解，提出了一种新的脑电逆问题算法。

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Inverse problem of EEG means using EEG data to get the information of equivalent dipole sources that can reflect the activity of EEG.

脑电逆问题是指利用脑电图(EEG)数据去反演可以反映脑电活动等效偶极子源的参数信息。

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The study of electroencephalogram (EEG) includes forward solution of EEG and inverse problem of EEG.

脑电研究包括脑电正问题和脑电逆问题研究。

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Using this improved arithmetic to solve the inverse problem of EEG, it runs faster and can avoid local optimization more availably than SGA.

为解决电磁场逆问题分析计算过度依赖计算机资源这一“瓶颈”问题，提出了一种新的快速全局优化算法。

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Using this improved arithmetic to solve the inverse problem of EEG, it runs faster and can avoid local optimization more availably than SGA.

为解决电磁场逆问题分析计算过度依赖计算机资源这一“瓶颈”问题，提出了一种新的快速全局优化算法。

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