用小波填充变换和偏最小二乘法定量测定具有重叠紫外光谱的多分量。

Ling Gao, Shouxin Ren
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引用次数: 0

摘要

提出了一种基于小波包变换的偏最小二乘法(WPTPLS),用于同时测定-萘胺、对硝基苯胺和联苯胺。信号的小波包表示提供了局部时频描述和信息与噪声的分离能力。采用最优基算法和阈值运算可以提高噪声去除的质量。偏最小二乘(PLS)方法利用响应信息和浓度信息来提高预测能力。在这种情况下,通过优化,WPTPLS方法的小波函数和分解层次分别为Db16和3。WPTPLS和PLS预测的相对标准误差(RSEP)分别为2.23%和2.71%。实验结果表明,WPTPLS方法是成功的,优于PLS方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative determination of the multicomponents with overlapping ultraviolet spectra using wavelet-packed transform and partial least squares.

This paper presented a novel method named wavelet packet transform-based partial least squares method (WPTPLS) for simultaneous spectrophotometric determination of alpha-naphthylamine, p-nitroaniline, and benzidine. Wavelet packet representations of signals provided a local time-frequency description and separation ability between information and noise. The quality of the noise removal can be improved by using best-basis algorithm and thresholding operation. Partial least squares (PLS) method uses both the response and concentration information to enhance its ability of prediction. In this case, by optimization, wavelet function and decomposition level for WPTPLS method were selected as Db16 and 3, respectively. The relative standard errors of prediction (RSEP) for all components with WPTPLS and PLS were 2.23% and 2.71%, respectively. Experimental results showed WPTPLS method to be successful and better than PLS.

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