Package: VMDecomp 1.0.1
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:
VMDecomp_1.0.1.tar.gz
VMDecomp_1.0.1.tar.gz(r-4.5-noble)VMDecomp_1.0.1.tar.gz(r-4.4-noble)
VMDecomp_1.0.1.tgz(r-4.4-emscripten)VMDecomp_1.0.1.tgz(r-4.3-emscripten)
VMDecomp.pdf |VMDecomp.html✨
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
- arrhythmia - Sample Arrhythmia Data from MIT Boston's Beth Israel Hospital (BIH) Database
Last updated 2 years agofrom:5201f38364. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 02 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 02 2024 |
Exports:estimate_k_modesvmd
Dependencies:data.tableglueRcppRcppArmadillo