散射
校准
插值(计算机图形学)
瑞利散射
算法
趋同(经济学)
噪音(视频)
化学
光学
物理
计算机科学
数学
统计
人工智能
图像(数学)
经济
运动(物理)
经济增长
作者
Ming-Yue Dong,Hai‐Long Wu,Tong Wang,Kun Huang,Ru‐Qin Yu
标识
DOI:10.1016/j.chemolab.2023.104823
摘要
The light scattering is common during fluorescence measurements, such as first- and second-order Rayleigh and Raman scatterings, which are not conducive to the decomposition of the multi-way data because it destroys the multi-linear structure. This paper proposed two second-order calibration algorithms, including three-direction resection alternating trilinear decomposition (TDR-ATLD) and three-direction resection self-weight alternating trilinear decomposition (TDR-SWATLD), which are based on an improved trilinear decomposition model for directly decomposition of the three-way fluorescence data with scattering regions removed. Through the simulation data, the proposed algorithms were compared with other three algorithms (ATLD, Interpolation-ATLD, TDR-PARAFAC). The calculation results of three algorithms (TDR-PARAFAC, TDR-ATLD and TDR-SWATLD) are better at small or large scattering widths. Both TDR-ATLD and TDR-SWATLD are insensitive to the number of components and the performance of TDR-ATLD had little fluctuation with different noise levels among the five algorithms. Additionally, TDR-ATLD and TDR-SWATLD are better than other algorithms when dealing with collinear data. The proposed algorithms were also used in two sets of real data, compared with other two algorithms (Interpolation-ATLD and TDR-PARAFAC) for dealing with scattering, the proposed algorithms could deal with fluorescence data with scattering and provided satisfactory results and TDR-ATLD has faster convergence. In general, TDR-ATLD has greater potential and performs better in processing fluorescence data with scattering.
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