目的　建立小波变换 比值导数光谱法 (WT RDS) ,考察其在多组分样品含量测定中去除高频噪音干扰的作用。方法　采用WT RDS同时测定脑清片中氨基比林和咖啡因的含量 ,以两组分样品的原始光谱除以其中某一组分的标准光谱后得到比值光谱 ,再以比值光谱对波长求导得到比值导数光谱。选取适当波长的振幅值测定 ,可消除一个组分的干扰而测定另一组分的含量 ;比较各实验数据小波变换前后处理的结果。结果　采用小波变换技术可消除测定组分的比值导数光谱中被“放大”的噪音的影响 ,实验数据的线性关系、精密度等得到改善。结论　WT RDS灵敏度高 ,抗干扰能力强 ,结果可靠 OBJECTIVE To establish a wavelet transform ratio derivative spectroscopy (WT RDS) to investigate the effect of removing high frequency noise from multi-component samples. Methods WT RDS was used to determine the contents of aminopyrine and caffeine in brain slices at the same time. The original spectra of the two components were divided by the standard spectra of one of the components and the ratio spectra were obtained. Derived derivative spectra. Select the appropriate wavelength of the amplitude measurement, can eliminate the interference of a component to determine the content of the other component; compare the experimental data before and after the wavelet transform results. Results Using wavelet transform technology can eliminate the “amplified” noise in the ratio derivative spectra of the measured components. The linear relationship and precision of the experimental data are improved. Conclusion WT RDS has high sensitivity, strong anti-interference ability and reliable results