该系统所采用的算法由于作了某些必要的近似处理，避免了直接解非线性方程组同时又满足了精度要求。

By making some necessary approximations, the algorithm used for this system is able to avoid solving directly system of nonlinear equations without losing the expected accuracy.

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文章利用近似逆矩阵构造了一类求解线性方程组的并行迭代算法。

In this paper, a parallel iterative algorithm for linear equations is given by approximating inverse of a matrix.

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比较了基于广义高斯分布近似和非线性变换(NLMIR)的两种最小互信息盲接收算法。

Minimum mutual information blind receiver that based on approximated generalized Gaussian distribution (GGMIR) and that use nonlinear transformation (NLMIR) are compared.

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