海军航空工程学院学报2017，Vol.32Issue(3)：270-274,5.DOI:10.7682/j.issn.1673-1522.2017.03.003
矩阵的奇异值分解在红外光谱预处理中的应用
Application of SVD Denoising in the Preprocessing of Infrared Spectrum
王凯 1王菊香 2刘洁 2朱长波1
作者信息
- 1. 海军航空工程学院研究生管理大队,山东烟台264001
- 2. 海军航空工程学院飞行器工程系,山东烟台264001
- 折叠
摘要
Abstract
The application of SVD denoising was studied in the preprocessing of infrared spectrum. The principle of largest spacing and maximum peak was adopted to choose effective rank order. The original spectrum was preprocessed by SVD denoising and the first derivative, the wave wand were selected with the method of correlation coefficient. Calibration mod-el for kinematic viscosity was established using the PLS method, and was compared with convolution smoothing. Its R c was 0.9779, its SEC was 0.1005, its Rp was 0.9412, its SEP was 0.1547. The results showed that SVD and the first derivative could effectively conduct denoising, correct baseline drift and improve the accuracy of PLS model.关键词
奇异值分解/红外光谱/预处理/润滑油/运动粘度Key words
SVD/infrared spectrum/preprocessing/lubricating oil/kinematic viscosity分类
信息技术与安全科学引用本文复制引用
王凯,王菊香,刘洁,朱长波..矩阵的奇异值分解在红外光谱预处理中的应用[J].海军航空工程学院学报,2017,32(3):270-274,5.
