The Use of Discrete Wavelets for Signal Denoising in Microchip Capillary Electrophoresis

Author

Yan, Weiping ; Xu, Chengcai ; Li, Jianhua ; Huang, Junhuang

Author_Institution

Dept. of Electron. Eng., Dalian Univ. of Technol.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

5254

Lastpage

5258

Abstract

Microchip capillary electrophoresis (CE) has been recognized as a powerful tool for biochemical analyses due to its micro size, fast separation and low sample requirement. According to the characters of CE signal, the Db12 wavelet with a level decomposition of 5 and the thresholding method of sqtwolog-hard were conformed as the optimum denoising strategy after computations. The result shows that, using this strategy, simulated capillary electrophoresis noise could be removed adequately. Compared with Fourier transform denoising method, discrete wavelets transform (DWT) is an efficient method for noise removal with a better preservation of the spiky shapes of CE signal

Keywords

biochemistry; discrete wavelet transforms; electrophoresis; signal denoising; Fourier transform; biochemical analyses; discrete wavelet transform; microchip capillary electrophoresis; optimum denoising; signal denoising; sqtwolog-hard; Biochemical analysis; Computational modeling; Discrete Fourier transforms; Discrete wavelet transforms; Electrokinetics; Fourier transforms; Noise reduction; Noise shaping; Shape; Signal denoising; DWT; Fourier transform; denoising; microchip capillary electrophoresis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714071

Filename

1714071