Motion Artifacts Suppression from EEG Signals Using an Adaptive Signal Denoising Method

As a conventional signal denoising method, wavelet thresholding denoising has problems including selection of basis vectors and poor denoising effect. EMD is an expansion of basis functions that are signal-dependent, but with the problem of mode mixing. In order to solve these problems, a denoising method based on EEMD and interval-thresholding strategy, an adaptive signal processing method is proposed, which can achieve good effects for signal denoising. Firstly, investigated signal is decomposed into IMFs by EEMD adaptively. Then, each IMF is denoising by interval-thresholding method based on sparse code shrinkage. Lastly, the denoised signal is reconstructed by denoised IMFs. Moreover, the presented method is validated by numerical simulation experiment.

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Analysis of ECG signal denoising method based on S-transform

IRBM ◽

10.1016/j.irbm.2013.07.012 ◽

2013 ◽

Vol 34 (6) ◽

pp. 362-370 ◽

Cited By ~ 24

Author(s):

M.K. Das ◽

S. Ari

Keyword(s):

Signal Denoising ◽

Ecg Signal ◽

Denoising Method ◽

S Transform

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Partial discharge signal denoising method based on frequency spectrum clustering and local mean decomposition

IET Science Measurement & Technology ◽

10.1049/iet-smt.2020.0061 ◽

2020 ◽

Vol 14 (10) ◽

pp. 853-861

Author(s):

Shanjun Li ◽

Sashuang Sun ◽

Qin Shu ◽

Minwei Chen ◽

Dakun Zhang ◽

...

Keyword(s):

Frequency Spectrum ◽

Partial Discharge ◽

Signal Denoising ◽

Denoising Method ◽

Local Mean Decomposition ◽

Local Mean

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Improved Wavelet Threshold Denoising Method

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.602-605.3177 ◽

2014 ◽

Vol 602-605 ◽

pp. 3177-3180

Author(s):

Wei Ping Cui ◽

Li Juan Du

Keyword(s):

Traditional Method ◽

Wavelet Denoising ◽

Threshold Function ◽

Signal Denoising ◽

Improved Method ◽

Denoising Method ◽

Comparison And Analysis ◽

Selection Of

In this paper, through comparison and analysis of various wavelet denoising methods, a new threshold function is constructed, and the selection of threshold is improved. Signal denoising simulation is made by the software MATLAB, the results show that the improved method is superior to the traditional method, and obtain a better denoising effect.

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An Integrated Denoising Method for Sensor Mixed Noises Based on Wavelet Packet Transform and Energy-Correlation Analysis

Journal of Sensors ◽

10.1155/2014/650891 ◽

2014 ◽

Vol 2014 ◽

pp. 1-11 ◽

Cited By ~ 4

Author(s):

Chao Tan ◽

Yanping Wang ◽

Xin Zhou ◽

Zhongbin Wang ◽

Lin Zhang ◽

...

Keyword(s):

Correlation Analysis ◽

Wavelet Packet ◽

Wavelet Packet Transform ◽

Processing Method ◽

Signal Denoising ◽

Current Signal ◽

Energy Correlation ◽

Denoising Method ◽

Impact Noise ◽

Key Technologies

In order to solve the problem of industrial sensor signal denoising, an integrated denoising method for sensor mixed noises based on wavelet packet transform and energy-correlation analysis is proposed. The architecture of proposed method is designed and the key technologies, such as wavelet packet transformation, energy-correlation analysis, and processing method of wavelet packet coefficients based on energy-correlation analysis, are presented. Finally, a simulation example for a specific signal and an application of shearer cutting current signal, which mainly contain white Gaussian noise and impact noise, are carried out, and the simulation and application results show that the proposed method is effective and is outperforming others.

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