Wavelet denoising of powder diffraction patterns

被引:9
作者
Smrcok, L [1 ]
Durík, M
Jorík, V
机构
[1] Slovak Acad Sci, Inst Inorgan Chem, SK-84236 Bratislava, Slovakia
[2] Slovak Univ Technol Bratislava, Dept Inorgan Chem, SK-81237 Bratislava, Slovakia
关键词
D O I
10.1017/S0885715600010733
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Four powder diffraction patterns taken under different experimental conditions were denoised by a new method, i.e., thresholding of wavelet coefficients. The patterns were transformed by discrete wavelet transform applying Coiflet4 wavelet function. WLS refinements of peaks' positions, FWHM, and intensity showed that wavelet denoising, in contrast to previously used polynomial smoothing, did not shift the maxima and preserved peak and integrated intensities. This method may therefore represent an useful alternative to polynomial filters or filters based on Fourier transform. (C) 1999 International Centre for Diffraction Data. [S0885-7156(99)00302-4].
引用
收藏
页码:300 / 304
页数:5
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