【摘要】 基于多小波变换的理论与算法,提出了多小波软阈值去噪算法。用模拟高斯信号对多小波软阈值滤噪方法与单小波软阈值滤噪方法进行了比较,实验结果表明,多小波滤噪方法去噪效果优于单小波。将多小波软阈值滤噪方法用于黄连提取物的5种组分毛细管电泳信号的滤噪,进行滤噪处理后,噪音基本上被消除,峰位置十分清晰,峰的位置、面积及高度基本不变,基线平稳,有利于进一步进行定量计算。更多还原

【Abstract】 A novel de-nosing method—muhiwavelet soft threshold filtering based on the theory and arithmetic of multiwavelet transform was founded.The fundamental principal of the muhiwavelet soft threshold method and scalar wavelet soft threshold method was com- pared by simulated Gauss signal.The experimental results showed that the method of muhiwavele soft threshold filtering was better than the method of scalar wavelet soft threshold filtering.The method of multiwavelet soft threshold filtering was used to de-nosing processing of the capillary electrophoresis signals of five components of hydrastis pick-ups.After the de-nosing processing,the noise can be elimina- ted basically,the peak position is very clear,the peak position,proportion,and height are fixed ultimately.The baseline is stabilized, which was availed to the next quantified calculation.更多还原