首页> 外文会议>Conference on Optical Design and Testing; 20071112-15; Beijing(CN) >Information entropy characteristic of the light scattering signal amplitude distribution of aerosols
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Information entropy characteristic of the light scattering signal amplitude distribution of aerosols

机译:气溶胶光散射信号幅度分布的信息熵特征

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摘要

The light scattering signal amplitude distribution of aerosols, which was measured by the single particle counting technique, was applied to calculate aerosol mass concentration using an inversion algorithm. Therefore, how to accurately extract the information of the signal amplitude distribution is a crucial problem for aerosol mass concentration inversion. In view of mass concentration inversion accuracy and stability are related to information extraction methods, the linear and non-linear segmentation methods were presented. Experimental results indicate the information entropy of the signal amplitude distribution obtained by the non-linear segmentation method is clearly larger in the same number of signal subsets, and when inversion accuracy achieves stability, the ratio of information entropy to the number of signal subsets is also larger than that of the linear segmentation method, leading to rapid stability of inversion accuracy. The study of the information entropy characteristic of the signal amplitude distribution of aerosol provides theoretical guidance for the circuit design of an optical particle counter.
机译:通过单粒子计数技术测量的气溶胶的光散射信号幅度分布被用于通过反演算法计算气溶胶质量浓度。因此,如何准确地提取信号幅度分布信息是气溶胶质量浓度反演的关键问题。鉴于质量浓度反演的准确性和稳定性与信息提取方法有关,提出了线性和非线性分割方法。实验结果表明,在相同数量的信号子集中,采用非线性分割方法得到的信号幅度分布的信息熵明显较大,当反演精度达到稳定时,信息熵与信号子集数量的比也为大于线性分割方法的结果,可快速提高反演精度的稳定性。对气溶胶信号幅度分布的信息熵特征的研究为光学粒子计数器的电路设计提供了理论指导。

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