Successive Variational Mode Decomposition (SVMD.m)

Versione 1.1.1 (739 KB) da Mojtaba Nazari

This code is the corrected version of the SVMD (Ver. 1.1.1) which is a powerful signal decomposition algorithm.

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Aggiornato 1 set 2021

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The SVMD is a robust method that extracts the modes successively and does not need to know the number of modes (unlike VMD). The method considers the mode as a signal with a maximally compact spectrum, as VMD does. It has been demonstrated that the SVMD method without knowing the number of modes converges to the same modes as VMD does with knowing the precise number of modes. Moreover, the computational complexity of SVMD is much lower than that of VMD. Also, another advantage of SVMD over VMD is more robustness against the initial values of the center frequencies of modes.

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Mojtaba Nazari (2025). Successive Variational Mode Decomposition (SVMD.m) (https://it.mathworks.com/matlabcentral/fileexchange/98649-successive-variational-mode-decomposition-svmd-m), MATLAB Central File Exchange. Recuperato novembre 4, 2025.

Nazari, Mojtaba, and Sayed Mahmoud Sakhaei. “Successive Variational Mode Decomposition.” Signal Processing, vol. 174, Elsevier BV, Sept. 2020, p. 107610, doi:10.1016/j.sigpro.2020.107610.

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Nazari, Mojtaba, and Sayed Mahmoud Sakhaei. “Variational Mode Extraction: A New Efficient Method to Derive Respiratory Signals from ECG.” IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 4, Institute of Electrical and Electronics Engineers (IEEE), July 2018, pp. 1059–67, doi:10.1109/jbhi.2017.2734074.

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Dragomiretskiy, Konstantin, and Dominique Zosso. “Variational Mode Decomposition.” IEEE Transactions on Signal Processing, vol. 62, no. 3, Institute of Electrical and Electronics Engineers (IEEE), Feb. 2014, pp. 531–44, doi:10.1109/tsp.2013.2288675.

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SVMD

Versione	Pubblicato	Note della release
1.1.1	1 set 2021		Scarica

MLA	Nazari, Mojtaba, and Sayed Mahmoud Sakhaei. “Successive Variational Mode Decomposition.” Signal Processing, vol. 174, Elsevier BV, Sept. 2020, p. 107610, doi:10.1016/j.sigpro.2020.107610.
APA	Nazari, M., & Sakhaei, S. M. (2020). Successive variational mode decomposition. Signal Processing, 174, 107610. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.sigpro.2020.107610
BibTeX	@article{Nazari_2020, doi = {10.1016/j.sigpro.2020.107610}, url = {https://doi.org/10.1016%2Fj.sigpro.2020.107610}, year = 2020, month = {sep}, publisher = {Elsevier {BV}}, volume = {174}, pages = {107610}, author = {Mojtaba Nazari and Sayed Mahmoud Sakhaei}, title = {Successive variational mode decomposition}, journal = {Signal Processing} }

MLA	Nazari, Mojtaba, and Sayed Mahmoud Sakhaei. “Variational Mode Extraction: A New Efficient Method to Derive Respiratory Signals from ECG.” IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 4, Institute of Electrical and Electronics Engineers (IEEE), July 2018, pp. 1059–67, doi:10.1109/jbhi.2017.2734074.
APA	Nazari, M., & Sakhaei, S. M. (2018). Variational Mode Extraction: A New Efficient Method to Derive Respiratory Signals from ECG. IEEE Journal of Biomedical and Health Informatics, 22(4), 1059–1067. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Fjbhi.2017.2734074
BibTeX	@article{Nazari_2018, doi = {10.1109/jbhi.2017.2734074}, url = {https://doi.org/10.1109%2Fjbhi.2017.2734074}, year = 2018, month = {jul}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {22}, number = {4}, pages = {1059--1067}, author = {Mojtaba Nazari and Sayed Mahmoud Sakhaei}, title = {Variational Mode Extraction: A New Efficient Method to Derive Respiratory Signals from {ECG}}, journal = {{IEEE} Journal of Biomedical and Health Informatics} }

MLA	Dragomiretskiy, Konstantin, and Dominique Zosso. “Variational Mode Decomposition.” IEEE Transactions on Signal Processing, vol. 62, no. 3, Institute of Electrical and Electronics Engineers (IEEE), Feb. 2014, pp. 531–44, doi:10.1109/tsp.2013.2288675.
APA	Dragomiretskiy, K., & Zosso, D. (2014). Variational Mode Decomposition. IEEE Transactions on Signal Processing, 62(3), 531–544. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Ftsp.2013.2288675
BibTeX	@article{Dragomiretskiy_2014, doi = {10.1109/tsp.2013.2288675}, url = {https://doi.org/10.1109%2Ftsp.2013.2288675}, year = 2014, month = {feb}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {62}, number = {3}, pages = {531--544}, author = {Konstantin Dragomiretskiy and Dominique Zosso}, title = {Variational Mode Decomposition}, journal = {{IEEE} Transactions on Signal Processing} }

Successive Variational Mode Decomposition (SVMD.m)

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