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The study of the improved wavelet thresholding with translation invariant de-noising on capillary electrophoresis signal

  • Hai Feng Zhang
  • , Xiao Wei Liui*
  • , Xian Hui Shao
  • , Xi Lian Wang
  • , Bin Zhou
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Ministry of Education of the People's Republic of China

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

According to the characters of CE signal, improved wavelet thresholding with translation invariant was described to denoise for microchip capillary electrophoresis in this paper. The improved thresholding function has muti-derivative compared with the soft thresholding. The denoising method can not only remain the geometrical characteristics and keep the amplitudes of the original electrophoresis signal waveforms efficiently, but also suppress impulsive noise to some extent. In order to suppress Pseudo-Gibbs phenomena combining the translation-invariant de-noising was proposed. The experimental results indicated that the proposed methods in the paper have good signal-to-noise ratio through testing the actual electrophoresis signal. The baseline of the denoised signal is smooth and the peak shape has not distortion.

Original languageEnglish
Title of host publication4th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2009
Pages1099-1102
Number of pages4
DOIs
StatePublished - 2009
Event4th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2009 - Shenzhen, China
Duration: 5 Jan 20098 Jan 2009

Publication series

Name4th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2009

Conference

Conference4th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2009
Country/TerritoryChina
CityShenzhen
Period5/01/098/01/09

Keywords

  • Capillary electrophoresis
  • Denoising
  • Thresholding
  • Translation-invariant
  • Wavelet

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