Paper
28 November 2007 Information entropy characteristic of the light scattering signal amplitude distribution of aerosols
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Abstract
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fang Gu, Juan Yang, Baomin Bian, and Anzhi He "Information entropy characteristic of the light scattering signal amplitude distribution of aerosols", Proc. SPIE 6834, Optical Design and Testing III, 68343G (28 November 2007); https://doi.org/10.1117/12.757582
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KEYWORDS
Aerosols

Atmospheric particles

Light scattering

Nonlinear optics

Particles

Optical proximity correction

Calibration

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