VMDecomp: Variational Mode Decomposition

'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 ORCID iD [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/COPYRIGHTS
VMDecomp copyright details
URL: https://github.com/mlampros/VMDecomp
NeedsCompilation: yes
SystemRequirements: libarmadillo: apt-get install -y libarmadillo-dev (deb), libblas: apt-get install -y libblas-dev (deb), liblapack: apt-get install -y liblapack-dev (deb), libarpack++2: apt-get install -y libarpack++2-dev (deb), gfortran: apt-get install -y gfortran (deb)
Citation: VMDecomp citation info
Materials: README NEWS
CRAN checks: VMDecomp results

Documentation:

Reference manual: VMDecomp.pdf
Vignettes: Variational Mode Decomposition (VMD)

Downloads:

Package source: VMDecomp_1.0.1.tar.gz
Windows binaries: r-devel: VMDecomp_1.0.1.zip, r-release: VMDecomp_1.0.1.zip, r-oldrel: VMDecomp_1.0.1.zip
macOS binaries: r-release (arm64): VMDecomp_1.0.1.tgz, r-oldrel (arm64): VMDecomp_1.0.1.tgz, r-release (x86_64): VMDecomp_1.0.1.tgz, r-oldrel (x86_64): VMDecomp_1.0.1.tgz
Old sources: VMDecomp archive

Reverse dependencies:

Reverse imports: decompDL, SVMD, VMDML, vmdTDNN

Linking:

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