Two-dimensional Variational Mode Decomposition
Spectrum-based decomposition of a 2D 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 (2D) input signal, while each being smooth after demodulation into baseband. The variational model is efficiently optimized using an alternating direction method of multipliers approach.
This is a generalization of 1D VMD:
http://www.mathworks.com/matlabcentral/fileexchange/44765-variational-mode-decomposition
See: K. Dragomiretskiy and D. Zosso, Variational Mode Decomposition, IEEE Trans. Signal Processing 62(3):531-544, 2014. http://dx.doi.org/10.1109/TSP.2013.2288675
and
K. Dragomiretskiy and D. Zosso, Two-Dimensional Variational Mode Decomposition, IEEE Int. Conf. Image Proc. 2014, (submitted). Preprint: ftp://ftp.math.ucla.edu/pub/camreport/cam14-16.pdf
Citar como
Dominique Zosso (2024). Two-dimensional Variational Mode Decomposition (https://www.mathworks.com/matlabcentral/fileexchange/45918-two-dimensional-variational-mode-decomposition), MATLAB Central File Exchange. Recuperado .
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- Signal Processing > Wavelet Toolbox > Filter Banks >
- Mathematics and Optimization > Optimization Toolbox > Linear Programming and Mixed-Integer Linear Programming > Solver-Based Linear Programming >
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Inspirado por: Variational Mode Decomposition
Inspiración para: Two-Dimensional Compact Variational Mode Decomposition (2D-TV-VMD)
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