中红外光谱信号去噪方法研究

Research on denoising method of mid-infrared spectral signal

红外光谱已成为现代许多领域常用的工具。在中红外光谱信号的分析中,由于其包含噪声及各种外界干扰因素,导致信号分析的准确度降低。为减小误差,依次将滑动平均法、小波分析法、傅里叶变换法、SG平滑滤波器法、处理离群值法与HHT法依次运用到人工构造信号及绒柄牛肝菌中红外光谱的实际信号中去噪,通过比较其信噪比及均方根误差,选出较为优质的方法。实验结果表明,HHT法的信噪比为最大、均方根误差为最小,说明去噪效果最好。

Infrared spectrum has become a common tool in many modern fields.However,in the analysis of mid-infrared spectroscopy signal,the accuracy of signal analysis is reduced due to its inclusion of noise and various external interference factors.In order to reduce the error,the moving average method,wavelet analysis method,Fourier transform method,SG smoothing filter method,outlier processing method and HHT method are applied to the artificial signal and the actual signal of the mid-infrared spectrum of boletus velutipes,and the better method is selected by comparing its signal-to-noise ratio and root-meansquare error.The experimental results show that the HHT method has the largest signal-to-noise ratio and the smallest root-meansquare error,which shows that the denoising effect is the best.