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

Author:

Jiang Xiao Yu1,Wang Qing Ya1,Xu Mu Qiang1,Hao Jun1

Affiliation:

1. East China University of Technology

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.

Publisher

Trans Tech Publications Ltd

Reference16 articles.

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1. An Iterative Curve-Fitting Baseline Correction Method for Raman Spectra Driven by Neural Network;Applied Spectroscopy;2023-12-06

2. Rapid determination of chemical compositions in chicken flesh by mining hyperspectral data;Journal of Food Composition and Analysis;2023-03

3. Quantitative analysis of trace elements of silver disturbed by pulse pile up based on energy dispersive X-ray fluorescence (EDXRF) technique;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2021-10

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