A de-noising method using the improved wavelet threshold function based on noise variance estimation

Author:

Liu Hui,Wang Weida,Xiang Changle,Han Lijin,Nie Haizhao

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference26 articles.

1. Study of the Technique for Predicting the Tendency of the Failures in the Non-Stationary Electro-Mechanical System Based on the Chaos and Fractal Theory;Chunmei,2010

2. The theory and application research on fault detection and diagnosis in electromechanical system;Bin,2002

3. New method of extracting weak failure information in gearbox by complex wavelet denoising;Zhixin;Chinese J. Mech. Eng.,2008

4. Applications of wavelets in electric power quality: voltage events;Barros;Electr. Power Syst. Res.,2012

5. Wavelet based seismic signal de-noising using Shannon and Tsallisentropy;Beenamol;Comput. Math. Appl.,2012

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