Current signal denoising of PMSM by matching pursuits algorithm with undercomplete dictionary

2015 ◽  
Author(s):  
Rui Chao Tao ◽  
Jie Ma ◽  
Hui Zhao
Keyword(s):  
Signal Denoising ◽  
Current Signal ◽  
Matching Pursuits

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

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
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.

Ultrasonic Testing Signal Denoising Based on Matching Pursuits

2013 ◽  
Vol 397-400 ◽  
pp. 2215-2218
Author(s):  
Xiu Li Du ◽  
Ying Hua Jiang
Keyword(s):  
White Noise ◽  
Ultrasonic Testing ◽  
Noise Suppression ◽  
Signal To Noise Ratio ◽  
Signal Denoising ◽  
Signal To Noise ◽  
Matching Pursuits ◽  
Testing Signal ◽  
Mp Method ◽  
The Relationship

When matching pursuits (MP) method was used for noise suppression of ultrasonic testing signals, the number of matched atoms affects the denoising performance. The relationship between the number of the matched atoms and denoising capability was analyzed, using the root mean square error (RMSE) and improvement of signal-to-noise ratio (SNR) to evaluate denoising performance. The simulated signals with white noise at different SNR and experimental signal with white noise and grain noise were analyzed respectively, and the results show that the MP method can remove the white noise and grain noise effectively. Moreover the best denoising performance can be arrived if the number of matched atoms is appropriate. At last, the selection principle of atoms number is given.

Real-time wavelet denoising for pulsed eddy current signal based on heterogeneous dual-core

2013 ◽  
Vol 33 (3) ◽  
pp. 866-870
Author(s):  
Xuanbing QIU ◽  
Jilin WEI ◽  
Xiaochao CUI ◽  
Chunhua XIA
Keyword(s):  
Real Time ◽  
Eddy Current ◽  
Wavelet Denoising ◽  
Current Signal ◽  
Pulsed Eddy Current ◽  
Dual Core

Withdrawn: Automated Diagnosis of Glaucoma Using Deep Neural Network Classifier

2019 ◽  
Vol 14 ◽  
Author(s):  
M. Madhumalini ◽  
T. Meera Devi
Keyword(s):  
Neural Network ◽  
Signal Transduction ◽  
Deep Neural Network ◽  
Neural Network Classifier ◽  
Current Signal ◽  
Automated Diagnosis ◽  
Signal Transduction Therapy ◽  
Copyright Permission ◽  
Legal Right

The article has been withdrawn on the request of the authors and the editor of the journal Current Signal Transduction Therapy. Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused. BENTHAM SCIENCE DISCLAIMER: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright of their article is transferred to the publishers, if and when the article is accepted for publication.

scholarly journals Matching Pursuits with random sequential subdictionaries

2012 ◽  
Vol 92 (10) ◽  
pp. 2532-2544 ◽  
Author(s):  
Manuel Moussallam ◽  
Laurent Daudet ◽  
Gaël Richard
Keyword(s):  
Matching Pursuits
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