Variational Mode Decomposition
Spectrum-based decomposition of a 1D input signal into k band-separated modes. Here, we propose an entirely non-recursive variational mode decomposition model, where the modes are extracted concurrently. The model looks for an ensemble of modes and their respective center frequencies, such that the modes collectively reproduce the (1D) input signal, while each being smooth after demodulation into baseband. The variational model is efficiently optimized using an alternating direction method of multipliers approach.
Applications: signal decomposition in audio engineering, climate analysis, various flux and neuromuscular signal analysis in medicine and biology, etc.
This is a variational alternative to the empirical mode decomposition (EMD; Huang et al. 1998), or the empirical wavelet transform (EWT; Gilles 2013).
See: K. Dragomiretskiy and D. Zosso, Variational Mode Decomposition, IEEE Trans. Signal Processing (in press). http://dx.doi.org/10.1109/TSP.2013.2288675
Citation pour cette source
Dominique Zosso (2024). Variational Mode Decomposition (https://www.mathworks.com/matlabcentral/fileexchange/44765-variational-mode-decomposition), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- Signal Processing > Wavelet Toolbox > Filter Banks >
- Mathematics and Optimization > Optimization Toolbox > Linear Programming and Mixed-Integer Linear Programming > Solver-Based Linear Programming >
Tags
Remerciements
A inspiré : Quasi-bivariate VMD, Two-Dimensional Compact Variational Mode Decomposition (2D-TV-VMD), Two-dimensional Variational Mode Decomposition, Multivariate Variational Mode Decomposition (MVMD)
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Découvrir Live Editor
Créez des scripts avec du code, des résultats et du texte formaté dans un même document exécutable.
Version | Publié le | Notes de version | |
---|---|---|---|
1.0.0.0 |