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:

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