1 July 2009 Blind deconvolution of x-ray diffraction profiles by using high-order statistics
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Abstract
A high-order statistical-based, blind deconvolution algorithm is proposed for x-ray powder diffraction profiles. Maximizing the kurtosis amplitude of the deconvolved data ensures that only the data with maximized kurtosis amplitude is extracted. The ill-posed nature of deconvolution is, thus, bypassed. Using simulation and experiments, this method is seen to be very robust with respect to noise. The profile resolution is enhanced considerably, and the deconvolved profile fits the pseudo-Voigt profile nicely. However, noise is enhanced in the deconvolved data, so the algorithm may be invalid for experimental data with low signal-to-noise.
© (2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Jinghe Yuan, Jinghe Yuan, } "Blind deconvolution of x-ray diffraction profiles by using high-order statistics," Optical Engineering 48(7), 076501 (1 July 2009). https://doi.org/10.1117/1.3159868 . Submission:
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