Yi-zhuo LIANG, Ling LIU, Li PENG, Jian QIU, Kai-qing LUO, Dong-mei LIU, Peng HAN. Research on Weighted Bayesian Inversion Algorithm with Non-negative Least Squares Constraint[J]. Acta Photonica Sinica, 2020, 49(10): 1029001
- Acta Photonica Sinica
- Vol. 49, Issue 10, 1029001 (2020)
Fig. 1. Changes in the distribution of weight coefficients over time
Fig. 2. Algorithm flowchart
Fig. 3. The inversion results of the particle size distribution of 400 nm single-peak wide particles at 0.01 noise intensity and the iterative convergence process
Fig. 4. The inversion results of the particle size distribution of 400 nm single-peak wide particles at 0.02 noise intensity and the iterative convergence process
Fig. 5. The inversion result of the particle size distribution of 400 nm single-peak narrowly distributed particles at 0.006 noise intensity and the iterative convergence process
Fig. 6. The inversion result of the particle size distribution of 400 nm single-peak narrowly distributed particles at 0.01 noise intensity and the iterative convergence process
Fig. 7. (450 nm ± 9 nm) MDLS experiment of standard polystyrene latex particles three algorithm inversion results and iterative convergence process
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Table 1. Comparison of simulation parameters of 400 nm single peak wide distribution particles at different noise intensities
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Table 2. Comparison of simulation parameters of 400 nm single peak narrow distribution particles at different noise intensities
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Table 3. (450 nm±9 nm) Standard polystyrene latex particles MDLS experiment three algorithm inversion results
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