MvFIF

version 7.0.1 (213 KB) by Antonio

Multivariate Fast Iterative Filtering

http://people.disim.univaq.it/~antonio.cicone/Software.html

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# MvFIF
Multivariate Fast Iterative Filtering

MvFIF generates the decomposition of a multivariate signal f

Cite As

Antonio (2022). MvFIF (https://github.com/Acicone/MvFIF/releases/tag/v7.0.1), GitHub. Retrieved August 14, 2022.

Cicone, Antonio, and Haomin Zhou. “Numerical Analysis for Iterative Filtering with New Efficient Implementations Based on FFT.” Numerische Mathematik, vol. 147, no. 1, Springer Science and Business Media LLC, Jan. 2021, pp. 1–28, doi:10.1007/s00211-020-01165-5.

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Cicone, Antonio. “Iterative Filtering as a Direct Method for the Decomposition of Nonstationary Signals.” Numerical Algorithms, vol. 85, no. 3, Springer Science and Business Media LLC, Feb. 2020, pp. 811–27, doi:10.1007/s11075-019-00838-z.

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A. Cicone. 'Multivariate Fast Iterative Filtering for the decomposition of nonstationary signals' ArXiv https://arxiv.org/abs/1902.04860

MATLAB Release Compatibility

Created with R2020a

Compatible with any release

Platform Compatibility

Windows macOS Linux

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To view or report issues in this GitHub add-on, visit the GitHub Repository.

MLA	Cicone, Antonio, and Haomin Zhou. “Numerical Analysis for Iterative Filtering with New Efficient Implementations Based on FFT.” Numerische Mathematik, vol. 147, no. 1, Springer Science and Business Media LLC, Jan. 2021, pp. 1–28, doi:10.1007/s00211-020-01165-5.
APA	Cicone, A., & Zhou, H. (2021). Numerical analysis for iterative filtering with new efficient implementations based on FFT. Numerische Mathematik, 147(1), 1–28. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs00211-020-01165-5
BibTeX	@article{Cicone_2021, doi = {10.1007/s00211-020-01165-5}, url = {https://doi.org/10.1007%2Fs00211-020-01165-5}, year = 2021, month = {jan}, publisher = {Springer Science and Business Media {LLC}}, volume = {147}, number = {1}, pages = {1--28}, author = {Antonio Cicone and Haomin Zhou}, title = {Numerical analysis for iterative filtering with new efficient implementations based on {FFT}}, journal = {Numerische Mathematik} }

MLA	Cicone, Antonio. “Iterative Filtering as a Direct Method for the Decomposition of Nonstationary Signals.” Numerical Algorithms, vol. 85, no. 3, Springer Science and Business Media LLC, Feb. 2020, pp. 811–27, doi:10.1007/s11075-019-00838-z.
APA	Cicone, A. (2020). Iterative filtering as a direct method for the decomposition of nonstationary signals. Numerical Algorithms, 85(3), 811–827. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs11075-019-00838-z
BibTeX	@article{Cicone_2020, doi = {10.1007/s11075-019-00838-z}, url = {https://doi.org/10.1007%2Fs11075-019-00838-z}, year = 2020, month = {feb}, publisher = {Springer Science and Business Media {LLC}}, volume = {85}, number = {3}, pages = {811--827}, author = {Antonio Cicone}, title = {Iterative filtering as a direct method for the decomposition of nonstationary signals}, journal = {Numerical Algorithms} }