Package: VMDecomp 1.0.2

Lampros Mouselimis

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>.

Authors:Lampros Mouselimis [aut, cre], Dominique Zosso [cph], Konstantin Dragomiretskiy [cph]

VMDecomp_1.0.2.tar.gz
VMDecomp_1.0.2.tar.gz(r-4.7-arm64)VMDecomp_1.0.2.tar.gz(r-4.7-x86_64)VMDecomp_1.0.2.tar.gz(r-4.6-arm64)VMDecomp_1.0.2.tar.gz(r-4.6-x86_64)
VMDecomp_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
VMDecomp/json (API)
NEWS

# Install 'VMDecomp' in R:
install.packages('VMDecomp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mlampros/vmdecomp/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • arrhythmia - Sample Arrhythmia Data from MIT Boston's Beth Israel Hospital (BIH) Database

On CRAN:

Conda:

openblascppopenmp

3.78 score 1 stars 4 packages 4 scripts 592 downloads 2 exports 4 dependencies

Last updated from:2931b4ac13. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK132
linux-devel-x86_64OK140
source / vignettesOK164
linux-release-arm64OK138
linux-release-x86_64OK137
wasm-releaseOK117

Exports:estimate_k_modesvmd

Dependencies:data.tableglueRcppRcppArmadillo

Variational Mode Decomposition (VMD)

Rendered fromvariatonal_mode_decomposition.Rmdusingknitr::rmarkdownon Jun 13 2026.

Last update: 2025-09-15
Started: 2022-06-09