基于广义形态滤波的低电压芯片电泳电色谱信号去噪研究  被引量:2

Study on Electro-chromatography Signal Denoising of Low-voltage Capillary Electrophoresis Micro-chip Based on Generalized Morphological Filtering

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作  者:廖红华[1] 吴长坤[1] 廖宇[1] 郭黎[1] 龚文浩[1] 

机构地区:[1]湖北民族学院信息工程学院,湖北恩施445000

出  处:《湖北民族学院学报(自然科学版)》2014年第4期439-444,共6页Journal of Hubei Minzu University(Natural Science Edition)

基  金:国家自然科学基金项目(61263030;61463014);湖北省科技厅科学研究项目(2010CDB00901)

摘  要:低电压芯片电泳电色谱信号检测过程中常伴随随机、周期性激励信号干扰、基线漂移等干扰问题,为低电压芯片电泳电色谱信号的检测带来很大的困难.为了从强干扰噪声中有效提取低电压芯片电泳电色谱分离图谱,有效抑制噪声干扰,提高测量精确度及稳定性,结合低电压芯片非接触电导检测器输出信号特点,将数学形态滤波算法应用到含有强噪声干扰的芯片电泳电色谱信号去噪中.仿真结果表明:数学形态滤波能有效消除芯片电泳电色谱信号的随机、周期性激励信号干扰、基线漂移等多种噪声,能很好地保留原色谱峰信号的基本特征.由于该方法原理简单、运算速度快,易于硬件实现,适合于强背景噪声条件下的低电压芯片电泳信号实时检测.During the electro-chromatography detection process of low-voltage capillary electrophoresis micro-chip,the signals are frequently affected by strong noise interference, such as the random disturb-ance,periodic excitation signal interference, baseline drift, and so on, which brought about great difficul-ties for the electro-chromatography signal analysis.In order to effectively extract the electro-chromatogra-phy graph of low-voltage capillary electrophoresis micro-chip, effectively restrain the noise interference and enhance the measurement precision and stability, the denoising algorithm based on mathematical morphology filter, which is applied in processing the electro-chromatography signal of low-voltage capil-lary electrophoresis micro-chip with strong noise interference, was presented.The simulation results show that the mathematical morphology filter can effectively eliminate the random disturbance,periodic excita-tion signal interference, baseline drift, etc, and can retain the basic characteristics of original chromato-graphic peak signal.Due to the advantages of simple principle and fast operation speed, easy to imple-ment by hardware,it is suitable for the real-time signal detection of low-voltage capillary electrophoresis micro-chip with strong background noise.

关 键 词:低电压芯片电泳 数学形态学滤波 电色谱信号去噪 结构元素 特征提取 

分 类 号:TP274[自动化与计算机技术—检测技术与自动化装置]

 

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