Empirical Mode Decomposition Based on Bistable Stochastic Resonance Denoising

Zhao Yan-ju Wang tai-yong Xu Yue Leng Yong-gang Zhang Pan

Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (3) : 149-151.

PDF(1632 KB)
PDF(1632 KB)
Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (3) : 149-151.
论文

Empirical Mode Decomposition Based on Bistable Stochastic Resonance Denoising

  • Zhao Yan-ju Wang tai-yong Xu Yue Leng Yong-gang Zhang Pan
Author information +
History +

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 the pretreatment 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 of signals.

Key words

stochastic resonance / empirical mode decomposition (EMD) / weak signals

Cite this article

Download Citations
Zhao Yan-ju Wang tai-yong Xu Yue Leng Yong-gang Zhang Pan. Empirical Mode Decomposition Based on Bistable Stochastic Resonance Denoising[J]. Journal of Vibration and Shock, 2009, 28(3): 149-151
PDF(1632 KB)

Accesses

Citation

Detail

Sections
Recommended

/