Improved EMD Based on Piecewise Cubic Hermite Interpolation and Mirror Extension

ZHANG Xuejun; HUO Yan; WAN Dongsheng

doi:10.1049/cje.2020.08.005

Volume 29 Issue 5

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ZHANG Xuejun, HUO Yan, WAN Dongsheng, “Improved EMD Based on Piecewise Cubic Hermite Interpolation and Mirror Extension,” Chinese Journal of Electronics, vol. 29, no. 5, pp. 899-905, 2020, doi: 10.1049/cje.2020.08.005

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ZHANG Xuejun, HUO Yan, WAN Dongsheng, “Improved EMD Based on Piecewise Cubic Hermite Interpolation and Mirror Extension,” Chinese Journal of Electronics, vol. 29, no. 5, pp. 899-905, 2020, doi: 10.1049/cje.2020.08.005

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Improved EMD Based on Piecewise Cubic Hermite Interpolation and Mirror Extension

doi: 10.1049/cje.2020.08.005

1.
College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
2.
Nation-Local Joint Project Engineering Laboratory of RF Integration and Micropackage, Nanjing 210023, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61271334).

Received Date: 2019-10-22
Rev Recd Date: 2020-02-18
Publish Date: 2020-09-10

Abstract

Abstract

This paper proposes an improved Empirical mode decomposition (EMD) method piecewise cubic hermite interpolation and mirror extension. Firstly, mirror expansion method is used to expand preliminary signal endpoint; then the piecewise cubic Hermite interpolation algorithm is applied to obtain the envelopes. Finally Intrinsic mode functions (IMFs) are obtained through improved EMD (MPC-HEMD). Through the analysis on simulation signals and Electroencephalogram (EEG) signals, we found that the new method was better than the traditional method.
- Common spatial pattern,
- EEG signal,
- Empirical mode decomposition,
- Feature extraction,
- Mirror expansion,
- Piecewise cubic Hermite interpolation

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References

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