<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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.</p></abstract>

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.

Improved Real-time Denoising Method Based on Lifting Wavelet Transform

Tianjin Key Laboratory of High Speed Cutting and Precision Machining, Tianjin University of Technology and Education, Tianjin, 300222, China

School of Automation, Beijing Institute of Technology, Beijing, 100081, China

Measurement Science Review

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.

{"article-title":"Improved Real-time Denoising Method Based on Lifting Wavelet Transform"}

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...

Improved Real-time Denoising Method Based on Lifting Wavelet Transform

Data publikacji: 17 cze 2014

Zakres stron: 152 - 159

Otrzymano: 02 wrz 2013

Przyjęty: 28 cze 2014

DOI: https://doi.org/10.2478/msr-2014-0020

Słowa kluczowe
Real-time denoising, semisoft shrinkage, lifting wavelet transform, moving data window

© 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.

Improved Real-time Denoising Method Based on Lifting Wavelet Transform

Data publikacji: 17 cze 2014

Zakres stron: 152 - 159

Otrzymano: 02 wrz 2013

Przyjęty: 28 cze 2014

DOI: https://doi.org/10.2478/msr-2014-0020

Słowa kluczoweReal-time denoising, semisoft shrinkage, lifting wavelet transform, moving data window

© 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.

Słowa kluczowe
Real-time denoising, semisoft shrinkage, lifting wavelet transform, moving data window