'RcppArmadillo' implementation for the Matlab code of the 'Variational Mode Decomposition' and 'Two-Dimensional Variational Mode Decomposition'. For more information, see (i) 'Variational Mode Decomposition' by K. Dragomiretskiy and D. Zosso in IEEE Transactions on Signal Processing, vol. 62, no. 3, pp. 531-544, Feb.1, 2014, <doi:10.1109/TSP.2013.2288675>; (ii) 'Two-Dimensional Variational Mode Decomposition' by Dragomiretskiy, K., Zosso, D. (2015), In: Tai, XC., Bae, E., Chan, T.F., Lysaker, M. (eds) Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2015. Lecture Notes in Computer Science, vol 8932. Springer, <doi:10.1007/978-3-319-14612-6_15>.
Version: 1.0.1 Depends: R (≥ 3.5.0) Imports: Rcpp (≥ 1.0.8.3), data.table, glue LinkingTo: Rcpp, RcppArmadillo Suggests: OpenImageR, R.matlab, testthat (≥ 3.0.0), rmarkdown, knitr Published: 2022-07-04 DOI: 10.32614/CRAN.package.VMDecomp Author: Lampros Mouselimis [aut, cre], Dominique Zosso [cph] (Author of the Variational Mode Decomposition Matlab code), Konstantin Dragomiretskiy [cph] (Author of the Variational Mode Decomposition Matlab code) Maintainer: Lampros Mouselimis <mouselimislampros at gmail.com> BugReports: https://github.com/mlampros/VMDecomp/issues License: GPL-3 Copyright: inst/COPYRIGHTSPlease use the canonical form https://CRAN.R-project.org/package=VMDecomp to link to this page.
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