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Measurement Science Review

The Journal of Institute of Measurement Science of Slovak Academy of Sciences

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Volume 14, Issue 3


Improved Real-time Denoising Method Based on Lifting Wavelet Transform

Zhaohua Liu
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  • Tianjin Key Laboratory of High Speed Cutting and Precision Machining, Tianjin University of Technology and Education, Tianjin, 300222, China
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/ Yang Mi / Yuliang Mao
Published Online: 2014-06-17 | DOI: https://doi.org/10.2478/msr-2014-0020


Signal denoising can not only enhance the signal to noise ratio (SNR) but also reduce the effect of noise. In order to satisfy the requirements of real-time signal denoising, an improved semisoft shrinkage real-time denoising method based on lifting wavelet transform was proposed. The moving data window technology realizes the real-time wavelet denoising, which employs wavelet transform based on lifting scheme to reduce computational complexity. Also hyperbolic threshold function and recursive threshold computing can ensure the dynamic characteristics of the system, in addition, it can improve the real-time calculating efficiency as well. The simulation results show that the semisoft shrinkage real-time denoising method has quite a good performance in comparison to the traditional methods, namely soft-thresholding and hard-thresholding. Therefore, this method can solve more practical engineering problems.

Keywords: Real-time denoising; semisoft shrinkage; lifting wavelet transform; moving data window


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About the article

Received: 2013-09-02

Accepted: 2014-06-28

Published Online: 2014-06-17

Published in Print: 2014-06-01

Citation Information: Measurement Science Review, Volume 14, Issue 3, Pages 152–159, ISSN (Online) 1335-8871, DOI: https://doi.org/10.2478/msr-2014-0020.

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© by Zhaohua Liu. This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. BY-NC-ND 3.0

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