An Improved Iterative Polynomial Fitting Algorithm for Baseline Correction in X-Ray Spectrum

Abstract:

An iterative polynomial fitting method is proposed for the estimate of the baseline of the X-ray fluorescence spectrum signal. The new method generates automatic thresholds by comparing the X-ray fluorescence spectrum signal with the calculated signal from polynomial fitting in the iterative processes. The signal peaks are cut out consecutively in the iterative processes so the polynomial fitting will finally give a good estimation of the baseline. Simulated data and real data from the soil analysis spectrum are used to demonstrate the feasibility of the proposed method.

• Periodical: Advances in Science and Technology (Volume 105)
• Pages: 90-98
• DOI: https://doi.org/10.4028/www.scientific.net/AST.105.90
• Online since: April 2021
• Authors: Xiao Yu Jiang*, Qing Ya Wang, Mu Qiang Xu, Jun Hao
• Keywords: Baseline Correction, Iterative Polynomial Fitting, X-Ray

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