'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: | 1.0.0 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp (≥ 1.0.8.3) |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | OpenImageR, R.matlab, glue, testthat (≥ 3.0.0), rmarkdown, knitr |
Published: | 2022-06-09 |
Author: | Lampros Mouselimis
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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 |
Reference manual: | VMDecomp.pdf |
Vignettes: |
Variational Mode Decomposition (VMD) |
Package source: | VMDecomp_1.0.0.tar.gz |
Windows binaries: | r-devel: VMDecomp_1.0.0.zip, r-release: VMDecomp_1.0.0.zip, r-oldrel: VMDecomp_1.0.0.zip |
macOS binaries: | r-release (arm64): VMDecomp_1.0.0.tgz, r-oldrel (arm64): VMDecomp_1.0.0.tgz, r-release (x86_64): VMDecomp_1.0.0.tgz, r-oldrel (x86_64): VMDecomp_1.0.0.tgz |
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