Signal Denoising Method Based on Improved Wavelet Threshold Function for Microchip Electrophoresis C 4 D Equipment

Yaonan Tong, Jingui Li, Yaohui Xu and Lichen Cao

Complexity, 2020, vol. 2020, 1-11

Abstract:

A signal denoising method using improved wavelet threshold function is presented for microchip electrophoresis based on capacitively coupled contactless conductivity detection (ME-C 4 D) device. The evaluation results of denoising effect for the ME-C 4 D simulation signal show that using Daubechies 5 (db5) wavelet at a decomposition level 4 can produce the best performance. Furthermore, the denoising effect is compared with, as well as proved to be superior to, the existing techniques, such as Savitzky–Golay, Fast Fourier Transform, and soft threshold method. This method has been successfully applied to the self-developed ME-C 4 D equipment. After executing this method, the noise is cleanly removed, and the signal peak shape and peak area are well maintained.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:6481317

DOI: 10.1155/2020/6481317

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