Local Mean Decomposition

Versione 1.0.0 (6,58 KB) da Linshan Jia

The MATLAB code of the local mean decomposition using empirical optimal envelope

https://github.com/ShaneSpace/LocalMeanDecomposition

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Aggiornato 6 gen 2022

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LocalMeanDecomposition

The MATLAB code of the local mean decomposition using empirical optimal envelope

基于经验最优包络的局部均值分解方法（LMD）源代码

This is the MATLAB code of the local mean decomposition using empirical optimal envelope in paper The empirical optimal envelope and its application to local mean decomposition. This code is writen on MATLAB 2018 and it can work well on MATLAB 2019-2021.

Citation

If this code is useful for your work, please cite our paper.

@article{jia2019empirical,
  title={The empirical optimal envelope and its application to local mean decomposition},
  author={Jia, Linshan and Zhang, Qing and Zheng, Xiang and Yao, Pulin and He, Xiaogao and Wei, Xiaohan},
  journal={Digital Signal Processing},
  volume={87},
  pages={166--177},
  year={2019},
  publisher={Elsevier}
}

Cita come

Jia, Linshan, et al. “The Empirical Optimal Envelope and Its Application to Local Mean Decomposition.” Digital Signal Processing, vol. 87, Elsevier BV, Apr. 2019, pp. 166–77, doi:10.1016/j.dsp.2019.01.024.

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Creato con R2022a

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eoe_lmd

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Versione	Pubblicato	Note della release
1.0.0	6 gen 2022

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MLA	Jia, Linshan, et al. “The Empirical Optimal Envelope and Its Application to Local Mean Decomposition.” Digital Signal Processing, vol. 87, Elsevier BV, Apr. 2019, pp. 166–77, doi:10.1016/j.dsp.2019.01.024.
APA	Jia, L., Zhang, Q., Zheng, X., Yao, P., He, X., & Wei, X. (2019). The empirical optimal envelope and its application to local mean decomposition. Digital Signal Processing, 87, 166–177. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.dsp.2019.01.024
BibTeX	@article{Jia_2019, doi = {10.1016/j.dsp.2019.01.024}, url = {https://doi.org/10.1016%2Fj.dsp.2019.01.024}, year = 2019, month = {apr}, publisher = {Elsevier {BV}}, volume = {87}, pages = {166--177}, author = {Linshan Jia and Qing Zhang and Xiang Zheng and Pulin Yao and Xiaogao He and Xiaohan Wei}, title = {The empirical optimal envelope and its application to local mean decomposition}, journal = {Digital Signal Processing} }