• Infrared and Laser Engineering
  • Vol. 44, Issue 9, 2837 (2015)
Cao Lixia1、*, Zhao Jun1, Kong Ming1, Shan Liang2, and Guo Tiantai1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    Cao Lixia, Zhao Jun, Kong Ming, Shan Liang, Guo Tiantai. Inversion of particle size distribution based on improved Chahine algorithm[J]. Infrared and Laser Engineering, 2015, 44(9): 2837 Copy Citation Text show less
    References

    [1] Shao Hongfei, Chai Juan, Huang Hui. Research progress of particle size analysis and particle size standard reference material[J]. Chemical Analysis and Meterage, 2012, 21(2): 99-101. (in Chinese)

    [2] Wang Naining. Optic Measurement Technology of Particle Size and Its Application[M]. Beijing: Atomic Energy Press, 2002: 168-175. (in Chinese)

    [3] Kouzelis D, Candel S M, Esposito E, et al. Particle sizing by laser light diffraction: improvements in optics and algorithms[J]. Particle & Particle Systems Characterization, 1987, 4(1-4): 151-156.

    [4] Wang Li, Sun Xiaogang. Research on pattern search method for inversion of particle size distribution in spectral extinction technique[J]. Spectroscopy and Spectral Analysis, 2013, 33(3): 618-622. (in Chinese)

    [5] Xu Lijun, Xin Lei, Cao Zhang. l(1)-Norm-Based reconstruction algorithm for particle sizing[J]. IEEE Transactions on Instrumention and Measurement, 2012, 61(5): 1395-1404.

    [6] Wang Yanmin, Liang Guobiao, Pan Zhidong, Inversion of particle size distribution from light-scattering data using a modified regularization algorithm[J]. Particuology, 2010, 8(4): 365-371.

    [7] Tang Hong. Retrieval of spherical particle size distribution with an improved Tikhonov iteration method[J]. Thermal Science, 2012, 16(5): 1400-1404.

    [8] Shao Yang, Wang Qinghua. Application of the smooth chahine algorithm in deducing the particle size distribution with light scattering[J]. Journal of Nanjing Xiaozhuang University, 2008, 11(6): 15-18. (in Chinese)

    [9] Andreas Kirsch. An Introduction to the Mathematical Theory of Inverse Problems[M]. Berlin: Springer, 2011: 24-40.

    [10] Li Gongsheng, Yuan Zhongxin. A new class of optimal regularization methods for solving ill-posed problems[J]. Journal of Zhengzhou University, 1999, 31(4): 21-23. (in Chinese)

    [11] Hansen P C. The L-curve and its Use in the Numerical Treatment of Inverse Problems[M]. Copenhagen: IMM, Department of Mathematical Modelling, Technical University of Denmark, 1999: 10-12.

    [12] Wang Bingxian, Hu Kangxiu, Wang Zewen. Advances in research in Landweber iterate method for inverse problems and its application[J]. Journal of Shandong University of Technology, 2010, 24(4): 24-28. (in Chinese)

    CLP Journals

    [1] XIU Wen-zheng, SHEN Jin, XIAO Ying-ying, XU Min, WANG Ya-jing, YIN Li-ju. Comparison between the Regularization Algorithm and the Chahine Algorithm in Inversions of Scattering Measurement Data of the Noisy Dynamic Light[J]. Acta Photonica Sinica, 2016, 45(11): 1112004

    Cao Lixia, Zhao Jun, Kong Ming, Shan Liang, Guo Tiantai. Inversion of particle size distribution based on improved Chahine algorithm[J]. Infrared and Laser Engineering, 2015, 44(9): 2837
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