Local Mean Decomposition
The MATLAB code of the local mean decomposition using empirical optimal envelope
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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}
}
Cite As
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.
General Information
- Version 1.0.0 (6.58 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
