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Wavelet denosiing of powder diffraction patterns

机译:粉末衍射图的小波去噪

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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 Coifiet 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.
机译:通过一种新的方法,即小波系数阈值化,对在不同实验条件下拍摄的四种粉末衍射图进行了消噪。通过应用Coifiet小波函数的离散小波变换对模式进行变换。 WLS对峰位置,FWHM和强度的细化表明,与先前使用的多项式“平滑”相比,小波降噪不会移动最大值并保留峰和积分强度。

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