HHT-EMD (Hilbert-Huang Transform - Empirical Mode Decomposition)
- Login to Download
- 1 Credits
Resource Overview
This archive contains the standard EMD/EEMD/CEEMD analysis toolkit developed by the Data Analysis Method Research Center at Taiwan's National Central University, led by Academician Norden E. Huang (inventor of HHT-EMD). Authored in 2013 by senior researcher Yung-Hung Wang, the toolkit implements both the original EMD algorithm and its latest variants, delivering authoritative, fast, precise, and user-friendly performance. During my research visit at the center, I enhanced the documentation by: 1) Adding 5 key references cited in the code comments to facilitate algorithmic understanding; 2) Modifying line 111 in eemd.m by replacing getDefaultStream with getGlobalStream for MATLAB 2013+ compatibility.
Detailed Documentation
This compressed file contains the standard EMD/EEMD/CEEMD analysis tools promoted by the Data Analysis Method Research Center at National Central University in Taiwan, led by Academician Norden E. Huang, the inventor of HHT-EMD (Hilbert-Huang Transform - Empirical Mode Decomposition). These tools were originally coded in 2013 by the center's senior researcher Yung-Hung Wang, incorporating both the fundamental EMD algorithm and recent advanced variants. The implementation is recognized for its authority, computational efficiency, precision, and user accessibility. Currently visiting the center, I have made two key enhancements to the original package: First, I integrated five foundational references mentioned in the code comments, enabling users to readily consult scholarly sources for deeper algorithmic insights. Second, I updated line 111 in eemd.m by changing the MATLAB function call from getDefaultStream to getGlobalStream, resolving compatibility issues with MATLAB 2013 and later versions. Users of older MATLAB versions can revert this modification if needed. This enriched archive offers substantial value, and I genuinely recommend it for practical implementation of EMD-based signal processing techniques.
- Login to Download
- 1 Credits