Robust Empirical Mode Decomposition (REMD)

Version 1.0.0.13 (5.76 KB) by Liu Zhiliang
A useful adaptive signal processing tool for multi-component signal separation, non-stationary signal processing.
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Updated 17 Feb 2023

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The REMD is an improved empirical mode decomposition powered by soft sifting stopping criterion (SSSC). The SSSC is an adaptive sifting stop criterion to stop the sifting process automatically for the EMD. It extracts a set of mono-component signals (called intrinsic mode functions) from a temporal mixed signal. It can be used together with Hilbert transform (or other demodulation techniques) for advanced time-frequency analysis.

Cite As

[1] Zhiliang Liu*, Dandan Peng, Ming J. Zuo, Jiansuo Xia, and Yong Qin. Improved Hilbert-Huang transform with soft sifting stopping criterion and its application to fault diagnosis of wheelset bearings. ISA Transactions. 125: 426-444, 2022.

Liu Zhiliang (2026). Robust Empirical Mode Decomposition (REMD) (https://www.mathworks.com/matlabcentral/fileexchange/70032-robust-empirical-mode-decomposition-remd), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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