量子电子学报2024，Vol.41Issue(2)：226-234,9.DOI:10.3969/j.issn.1007-5461.2024.02.005
傅里叶变换红外光谱自适应数字滤波算法研究
Research of adaptive digital filtering algorithm for Fourier transform infrared spectroscopy
摘要
Abstract
To address the issue of instrument performance degradation of Fourier transform infrared(FTIR)spectrometers caused by different types of environmental signal noise,an adaptive filtering algorithm,which can update filtering parameters in real-time based on different environmental noise levels,is proposed in this work.The basic principle and implementation process of the algorithm are theoretically deduced,and the filtering effect under different filtering parameters is analyzed.Then,the proposed filtering algorithm is used to filter the measured spectral data,and the spectral signal-to-noise ratio(SNR)of different filtering methods is compared and analyzed.The results show that the SNRs of the adaptive filtering algorithm in 2100-2200 cm-1 and 2500-2600 cm-1 bands are 1.29 times and 1.13 times those of the traditional hardware filtering,respectively,indicating that the adaptive filtering algorithm proposed can effectively improve SNR of FTIR spectrum and the performance index of FTIR instrument.关键词
光谱学/数字滤波/巴特沃斯滤波器/傅里叶变换红外光谱/信噪比Key words
spectroscopy/digital filter/Butterworth filter/Fourier transform infrared spectroscopy/signal to noise ratio分类
数理科学引用本文复制引用
孟伍德,童晶晶,高闽光,李相贤,李妍,韩昕,刘文清..傅里叶变换红外光谱自适应数字滤波算法研究[J].量子电子学报,2024,41(2):226-234,9.基金项目
国家自然科学基金(42075135),浙江省重点研发计划项目(2021C65) （42075135）
