利用二进样条小波模极大方法消除毛细管电泳信号噪声的研究  

Application of Dyadic Wavelet Transform Modulus Maximum Method to Denoising of Capillary Electrophoresis Signals

作　　者：仲红波[1] 陈立仁[1] 李关宾[2] 刘辉[3] 郑建斌[3] 

机构地区：[1]中国科学院兰州化学物理研究所,兰州730000 [2]山东轻工业学院化学工程系,济南250100 [3]西北大学分析科学研究所,西安710069

出　　处：《高等学校化学学报》2002年第5期796-800,共5页Chemical Journal of Chinese Universities

基　　金：国家自然科学基金(批准号:29775018); 山东省自然科学基金; 教育部高等学校骨干教师资助计划项目; 陕西省教育厅专项基金(批准号:01jk076)资助.

摘　　要：根据毛细管电泳信号中噪声与真实信号的模极大值特性之间存在较大差异的特点，提出了一种利用二进样条小波变换模极大值算法去噪的方法．研究了信号的半峰宽、不同信噪比以及阈值的选取对去噪结果的影响，并对模拟含噪信号和含噪毛细管电泳信号去噪前后的结果进行了比较．实验结果表明，该法能有效地消除谱带较宽的毛细管电泳等信号中存在的噪声．Abstract In this paper, a dyadic wavelet transform modulus maximum de-noising method, which is based on the fact that the characteristics of wavelet transform modulus maximum of real signals are distinctively different from those of noises, was founded. The effect of the full width at half-maximum and noise quantum was investigated, and the selection of threshold was discussed. Finally, the method was applied to capillary electrophoresis signals. The experimental results show that this method can be used to pick up real signal and de-noise effectively.

关 键 词：二进样条小波 模极大值 毛细管电泳 化学信号处理 去噪 噪声 分析化学 

分 类 号：O657.8[理学—分析化学] O174.2[理学—化学]