Approach to Weak Signal Extraction Based on Empirical Mode Decomposition and Stochastic Resonance

Pan Zhang; Taiyong Wang; Lu Liu; Lu Yang Jin; Jin Xiang Fang

doi:10.4028/www.scientific.net/AMR.819.216

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 819Approach to Weak Signal Extraction Based on...

Approach to Weak Signal Extraction Based on Empirical Mode Decomposition and Stochastic Resonance

Abstract:

The empirical mode decomposition (EMD) of weak signals submerged in a heavy noise was conducted and a method of stochastic resonance (SR) used for noisy EMD was presented. This method used SR as pre-treatment of EMD to remove noise and detect weak signals. The experiment result prove that this method, compared with that using EMD directly, not only improve SNR, enhance weak signals, but also improve the decomposition performance and reduce the decomposition layers.

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Periodical:

Advanced Materials Research (Volume 819)

Pages:

216-221

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.819.216

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Online since:

September 2013

Authors:

Pan Zhang, Taiyong Wang, Lu Liu, Lu Yang Jin, Jin Xiang Fang

Keywords:

Empirical Mode Decomposition (EMD), SR, Weak Signal

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References

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