tvd: Total Variation Denoising

Total Variation Denoising is a regularized denoising method which effectively removes noise from piecewise constant signals whilst preserving edges. This package contains a C++ implementation of Condat's very fast 1D squared error loss TVD algorithm. Additional methods and loss functions may be added in future versions.

Version: 0.1.0
Depends: R (≥ 3.1.0)
Imports: Rcpp (≥ 0.11.2)
LinkingTo: Rcpp
Published: 2014-08-13
Author: Mark Pinese [aut, cre, cph]
Maintainer: Mark Pinese <m.pinese at garvan.org.au>
BugReports: https://bitbucket.org/marpin/r-tvd/issues
License: EPL (≥ 1.0)
URL: https://bitbucket.org/marpin/r-tvd
NeedsCompilation: yes
CRAN checks: tvd results

Downloads:

Reference manual: tvd.pdf
Package source: tvd_0.1.0.tar.gz
Windows binaries: r-devel: tvd_0.1.0.zip, r-release: tvd_0.1.0.zip, r-oldrel: tvd_0.1.0.zip
OS X Mavericks binaries: r-release: tvd_0.1.0.tgz, r-oldrel: tvd_0.1.0.tgz

Linking:

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