首页 | 本学科首页   官方微博 | 高级检索  
     

基于小波变换识别去除毛细管电泳中的奇异峰
引用本文:王立新,傅崇岗.基于小波变换识别去除毛细管电泳中的奇异峰[J].计算机与应用化学,2003,20(4):471-473.
作者姓名:王立新  傅崇岗
作者单位:1. 聊城大学教育技术系,山东,聊城,252059
2. 聊城大学教育化学系,山东,聊城,252059
基金项目:山东省青年科学基金(Q99B11),教育部“高等学校骨干教师资助计划”项目
摘    要:提出了一种基于小波变换识别去除毛细管电泳中奇异峰的新方法。电泳图预先去噪,再通过选择合适小波分解,奇异峰可很方便地用一级水平细节识别,然后将其投射到时域中的相应位置去除,去除后的区域采用多项式插值代替。该方法不仅消除了奇异峰,而且有效地降低了背景噪声,正常峰的强度仍保持在90%以上,从而提高了信噪比,降低了检测限。

关 键 词:小波变换  毛细管电泳  奇异峰  液相分离技术
文章编号:1001-4160(2003)04-471-473
修稿时间:2002年5月12日

Recognition and removal of spikes in capillary electrophoresis using wavelet transformation
WANG Li-Xin,Fu Chong-Gang.Recognition and removal of spikes in capillary electrophoresis using wavelet transformation[J].Computers and Applied Chemistry,2003,20(4):471-473.
Authors:WANG Li-Xin  Fu Chong-Gang
Abstract:A new method for recognition and removal of spikes in capillary electrophoresis using wavelet transformation was established in this paper. Firstly, the baseline noise of an electropherogram was removed; Then the spikes could be recognized by their first level detail coefficients after wavelet decompositions of the denoised electropherogram using proper wavelet base. After that spikes locations were projected to the corresponding position in the electropherogram. Finally those spike-removed regions were replaced by polynomial interpolated values. This procedure not only removed the spikes but also significantly reduced the baseline noise while over ninety percent of the normal peak signal remained. Consequently, the signal-to-noise ratio was increased and the detection limit was decreased.
Keywords:capillary electrophoresis  wavelet transformation  spikes
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号