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。
But the blind estimation algorithm, for example, the sub-space decomposition, is not good for real time estimation because it requires large received signals, and has low estimation convergence rate.
但盲估计算法,如子空间分解法等,需要较大的样本值,收敛速率慢,不利于实时信道估计。
But the blind estimation algorithm, for example, the sub-space decomposition, is not good for real time estimation because it requires large received signals, and has low estimation convergence rate.
但盲估计算法,如子空间分解法等,需要较大的样本值,收敛速率慢,不利于实时信道估计。
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