高炉冶炼过程是一个高度复杂的过程，其运行机制往往具有非线性、大时滞、大噪声、分布参数等特征。
Blast Furnace (BF) ironmaking process is highly complicated, whose operating mechanism is characteristic of nonlinearity, time lag, high dimension, big noise and distribution parameter etc.
将其应用于含有大量测量噪声的试飞数据处理中，应用结果表明，该方法对非线性和复杂分布的过程数据有很好的处理效果。
The application of this method in the flight test noise data processing shows that the method has a good effect in the processing data with nonlinear properties and other complex distributions.
噪声污染具有复杂的空间分布特征，传统评价方法难以达到准确、直观的效果。
Noise pollution has complex spatial distribution, traditional evaluation methods achieve accurate, direct-viewing effects with difficulty.
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