Comparison Research about Wavelet and Moving Smoothing Method Applied in Denoising X-Ray Diffraction Patterns of Tibetan Medicine

Yuan Liu; Xin Wen Duan; Cheng Xi Hu; Hao Sun; Jian Rui Zhu

doi:10.4028/www.scientific.net/AMM.577.771

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 577Comparison Research about Wavelet and Moving...

Comparison Research about Wavelet and Moving Smoothing Method Applied in Denoising X-Ray Diffraction Patterns of Tibetan Medicine

Abstract:

Comparison research for XRD patterns between Modulus Maximum denoising (marked MJ) and thresholding denoising (marked Thr) all based on wavelet analysis, and the Savitzky-Golay filter (marked SG), as well as variation of denoising effect with required parameters of SG method, was investigated for the first time. The results showed that the Thr method exhibited a good smoothing effect for mineral XRD patterns with sharp peaks, and the MJ method was more suitable for plant-based XRD patterns with broad dispersive peaks. Although the SG method with the optimized parameters possessed a higher denoising property for both the two kinds of patterns, the determination of optimized parameters was hard and needed to be specified by users.

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Periodical:

Applied Mechanics and Materials (Volume 577)

Pages:

771-776

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.577.771

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Online since:

July 2014

Authors:

Yuan Liu*, Xin Wen Duan, Cheng Xi Hu, Hao Sun, Jian Rui Zhu

Keywords:

De-Noising, Savitzky-Golay Filter, Wavelet Analysis, X-Ray Diffraction (XRD)

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References

[1] GAO Xia-hong, GUO Ling-hong and LI Hui. Chemical Research and Application, 2005, 17(1): 58-60. (In Chinese).

Google Scholar

[2] ZHU Zhi-feng, WANG Shu-chun, LiU Xu-ying, LI Lan-yan, LU Yang, and ZHENG Qi-tai. Chinese Traditional and Herbal Drugs, 2001, 32(10): 932-933. (In Chinese).

Google Scholar

[3] ZHAO Rui-zhen, HU Zhan-yi, and HU Shao-hai. Spectroscopy and Spectral Analysis, 2007, 27(8): 1644-1647. (In Chinese).

Google Scholar

[4] WANG Xiang, ZHU Zheng-lin, and TIAN Yong-wei. Journal of Nanjing Institute of Technology(Natural Science Edition), 2010, 8(1): 38-42. (In Chinese).

Google Scholar

[5] LI Hui, LIN Qi-zhong, WANG Qin-jun, LIU Qing-jie, and WU Yun-zhao. Spectroscopy and Spectral Analysis, 2010, 30(3): 644-648. (In Chinese).

Google Scholar

[6] DONG Lulu, FANG Wenjing, and XU Jing. Well Logging Technology, 2012, 36(2): 141-145. (In Chinese).

Google Scholar

[7] Wang Xueshun, Qi Dawei, and Huang Anmin. Scientia Silvae Sinicae, 2008, 44(10): 109-112. (In Chinese).

Google Scholar

[8] Donoho, D. and Johnstone, I. Ideal spatial adaptation by wavelet shrinkage, Biometrika, 1994, 81, 3, 425–455.

DOI: 10.1093/biomet/81.3.425

Google Scholar

[9] Lavielle, M. Detection of multiple changes in a sequence of dependent variables, Stochastic Processes and their Applications, 1999, 83, 79–102.

DOI: 10.1016/s0304-4149(99)00023-x

Google Scholar