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rwavelet: Wavelet Analysis

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

Documentation:

Reference manual: rwavelet.pdf
Vignettes: Rwavelet Vignette

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rwavelet to link to this page.

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.