The use of wavelets for signal denoising in capillary electrophoresis
The use of wavelets for signal denoising in capillary electrophoresis
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DOI：
10.1021/ac010416a
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发表时间：
2001-10-15
影响因子：
7.4
通讯作者：
Massart, DL
中科院分区：
文献类型：
--
作者：
Perrin, C;Walczak, B;Massart, DL
将离散小波变换应用于毛细管电泳（CE）的去噪。使用哈尔小波和平移不变去噪被发现是非常有效的。与仪器软件包中最常用的去噪技术Savitzky-Golay和Fourier相比，获得了重要的改进。更好地消除了噪声，特别是更好地保留了非常尖锐的峰的形状。还研究了基线变化的消除。
The discrete wavelet transform was applied to denoise electropherograms in capillary electrophoresis (CE). The use of the Haar wavelet and translation invariant denoising were found to be very efficient for this purpose. An important improvement was obtained, as compared with Savitzky-Golay and Fourier, which are the most commonly used techniques for denoising in the instrumentation software packages. A better removal of the noise and, especially, a better preservation of the shapes of very sharp peaks was achieved. Removal of the baseline variations was also investigated.