传感技术学报2023，Vol.36Issue(3)：404-410,7.DOI:10.3969/j.issn.1004-1699.2023.03.010
提升小波和Savitzky-Golay滤波结合的近红外光谱去噪研究
Near Infrared Spectrum Denoising Based on Lifting Wavelet Transform and Savitzky-Golay Filter
摘要
Abstract
During the near infrared spectrum processing,the measured near infrared spectrum not only has the near-infrared characteristic spectrum of the tested sample,but also contains some random noise. The noise will affect the accuracy of the subsequent spectrum analysis. In order to improve the accuracy of the near infrared spectrum,denoising processing for near infrared spectrum is required. Single lifting wavelet transform denoising,wavelet transform denoising and Savitzky-Golay filter are difficult to obtain better denoising effect. Therefore, an improved method is proposed,which combines lifting wavelet transform and Savitzky-Golay filter for near infrared spectrum denoising. Meanwhile,the results are compared with those of single denoising methods by simulating and evaluating the denoising effect. The experi-mental results show that the signal-to-noise ratio of the new method is increased by 0.3364,1.1074,and 0.1287 respectively,and the root mean square error is reduced by 0.0026,0.0091,and 0.0010 respectively compared with corresponding values of wavelet transform de-noising,lifting wavelet transform denoising and Savitzky-Golay filter. It indicates that the proposed method can effectively remove the noise in the near infrared spectrum and improve the evaluation index of noise denoising.关键词
近红外光谱/提升小波变换/Savitzky-Golay滤波/去噪Key words
NIRS/Lifting wavelet transform/Savitzky-Golay filter/Denoising分类
信息技术与安全科学引用本文复制引用
尹欣慧,顾雯雯..提升小波和Savitzky-Golay滤波结合的近红外光谱去噪研究[J].传感技术学报,2023,36(3):404-410,7.基金项目
国家重点研发计划项目(2018YFF01011200) （2018YFF01011200）
