A statistical regressive mathematical model for processing the measured data of lossless network is presented.
提出了处理无耗正切关系网络测量数据的统计回归数学模型。
Based on the Wien's law temperature and emissivity of flame were obtained by processing the measured data with an optimization algorithm.
根据这一特点，从维恩公式出发，利用最优化方法处理测得的火焰辐射光谱信号，得到了火焰的温度和黑度。
By measuring the capacitance of sub-capacitor sensor then processing the measured data to get the interface position is the overall idea of this paper.
通过测量各分段电容传感器然后对测得的数据进行分析处理得到各界面位置是本论文的总体思路。
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