waveslim: Basic Wavelet Routines for One-, Two-, and Three-Dimensional Signal Processing

Basic wavelet routines for time series (1D), image (2D) and array (3D) analysis. The code provided here is based on wavelet methodology developed in Percival and Walden (2000); Gencay, Selcuk and Whitcher (2001); the dual-tree complex wavelet transform (DTCWT) from Kingsbury (1999, 2001) as implemented by Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002). All figures in chapters 4-7 of GSW (2001) are reproducible using this package and R code available at the book website(s) below.

Version: 1.8.2
Depends: R (≥ 2.11.0), graphics, grDevices, stats, utils
Suggests: fftw, covr
Published: 2020-03-13
Author: Brandon Whitcher
Maintainer: Brandon Whitcher <bwhitcher at gmail.com>
License: BSD_3_clause + file LICENSE
URL: http://waveslim.blogspot.com
NeedsCompilation: yes
Materials: README
In views: Finance, MedicalImaging, TimeSeries
CRAN checks: waveslim results


Reference manual: waveslim.pdf
Package source: waveslim_1.8.2.tar.gz
Windows binaries: r-devel: waveslim_1.8.2.zip, r-devel-gcc8: waveslim_1.7.5.2.zip, r-release: waveslim_1.8.2.zip, r-oldrel: waveslim_1.8.2.zip
OS X binaries: r-release: waveslim_1.8.2.tgz, r-oldrel: waveslim_1.8.2.tgz
Old sources: waveslim archive

Reverse dependencies:

Reverse depends: adwave, brainwaver, MassSpecWavelet, RHRV, W2CWM2C, wavemulcor, wmlf
Reverse imports: ADaCGH2, CONFESS, EFDR, iWISA, NSM3, SpatialVx, spind, tswge, waveTiling
Reverse suggests: ade4, dplR, GENEAclassify, subniche


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