然后把特征窗口划分成一定大小的小块，以每块的灰度平均值为分解窗口的参量。

Then the feature window is divided into a number of location and the average value of each location is calculatied as the parameter in the feature window .

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针对多机带时间窗口任务规划问题，提出了基于模型分解的规划求解算法。

The algorithm based on model decomposition was proposed for the problem of multi-machine task scheduling with time Windows.

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在分析经验模式分解存在问题的基础上，改进了经验模式分解的算法，提出用窗口平均法取代原极值包络法来计算局部均值。

Based on the analysis of some problems in the method of empirical mode decomposition, the algorithm of empirical mode decomposition is improved in this paper.

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