通过最小化能量方案极小化代价函数，同时通过定点交替迭代策略将非线性方程进行线性化处理，快速恢复图像。

The cost functions are minimized by alternate minimization scheme. The nonlinear equations are linear by fixed-point iteration scheme.

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根据博弈理论与最优控制理论，提出一种能够在具有不确定噪声干扰中最小化滤波误差的极小极大值鲁棒滤波器。

Based on the game theory and LQG optimal control theory, the mini-max robust filtering is presented, which can minimize the filtering errors under the disturbance of uncertain noises.

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针对噪声不确定性，文章采用对策论的基本原理，导出了一种最小化不确定下最坏性能的极小极大鲁棒状态估计器。

Using game theory, the minimax robust state estimator is designed, which can minimize the worst performance un-der the uncertain noise.

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