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Perform wavelet analysis (orthogonal,translation invariant, tensorial, 1-2-3d transforms, thresholding, block thresholding, linear,...) with applications to data compression or denoising/regression. The core of the code is a port of 'MATLAB' Wavelab toolbox written by D. Donoho, A. Maleki and M. Shahram (<https://statweb.stanford.edu/~wavelab/>).
Version: | 0.4.1 |
Imports: | signal |
Suggests: | knitr, rmarkdown, misc3d, imager |
Published: | 2020-12-12 |
DOI: | 10.32614/CRAN.package.rwavelet |
Author: | F. Navarro and C. Chesneau |
Maintainer: | Navarro Fabien <fnavarro at math.cnrs.fr> |
BugReports: | https://github.com/fabnavarro/rwavelet/issues |
License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)] |
URL: | https://github.com/fabnavarro/rwavelet |
NeedsCompilation: | no |
Citation: | rwavelet citation info |
Materials: | NEWS |
CRAN checks: | rwavelet results |
Reference manual: | rwavelet.pdf |
Vignettes: |
Rwavelet Vignette |
Package source: | rwavelet_0.4.1.tar.gz |
Windows binaries: | r-devel: rwavelet_0.4.1.zip, r-release: rwavelet_0.4.1.zip, r-oldrel: rwavelet_0.4.1.zip |
macOS binaries: | r-release (arm64): rwavelet_0.4.1.tgz, r-oldrel (arm64): rwavelet_0.4.1.tgz, r-release (x86_64): rwavelet_0.4.1.tgz, r-oldrel (x86_64): rwavelet_0.4.1.tgz |
Old sources: | rwavelet archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.