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LIBS Spectra Automatic Baseline Correction Method Based on Iterative Morphometric Weighted Penalized Least Squares

机译:基于迭代形态加权加权最小二乘的LIBS光谱自动基线校正方法

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Laser induced breakdown spectroscopy (LIBS) is an analytical technique that has received increasing attention due to many applications. A continuous background will cause baseline drift, which significantly affects spectral analysis. In this paper, an automated baseline correction method based on iterative morphological operations and weighted penalized least squares method is used for LIBS spectral baseline correction. This method can correct the estimated baseline. Experiments on simulated spectra and actual laser-induced breakdown of stainless steel sample LIBS data show that this method is accurate and flexible when used for LIBS spectral baseline correction.
机译:激光诱导击穿光谱法(LIBS)是一种分析技术,由于许多应用而受到越来越多的关注。连续的背景会导致基线漂移,这会严重影响光谱分析。本文将基于迭代形态学运算和加权罚最小二乘法的自动基线校正方法用于LIBS光谱基线校正。此方法可以校正估计的基线。对不锈钢样品LIBS数据的模拟光谱和实际激光诱导的击穿进行的实验表明,该方法用于LIBS光谱基线校正时是准确且灵活的。

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