Performance improvement for empirical mode decomposition at low sampling rates

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Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (17) : 185-190.

LI Heng1, LI Zhi2,3, and MO Wei1

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Abstract

Empirical mode decomposition (EMD) depends highly on the exact location and value of extrema, which requires a high degree of oversampling. Aiming at improving the performance of EMD under low sampling rates, a local mean estimation method based on B-spline approximation is proposed. Firstly, the location of extrema is extracted as the time scale. Then, the location is re-sampled to generate knots for B-splines. Finally, the local mean is computed directly based on B-spline least squares approximation. In compare with the existing EMD method, the exact location and value of extrema are not essential to the proposed technique. The efficiency of this technique is demonstrated using synthetic signals. Experiments show that the performance of the proposed method is not reduced even the sampling rate is close to the Nyquist rate. It also demonstrates that the proposed method is superior to existing interpolation methods in separation performance.

Key words

empirical mode decomposition / B-spline approximation / low sampling rates / signal decomposition / time-frequency analysis

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LI Heng1, LI Zhi2,3, and MO Wei1. Performance improvement for empirical mode decomposition at low sampling rates[J]. Journal of Vibration and Shock, 2016, 35(17): 185-190

References

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