Package waveslim details
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.
Maintainer: Brandon Whitcher < bwhitcher at gmail.com >
From within R, enter
If you have any problems with this package you can open a new issue or check the already existing ones here.
To install this package, start R and enter:
# Default Install
# from GitHub
neuro_install('waveslim', release = "stable", release_repo = "github")
neuro_install('waveslim', release = "current", release_repo = "github")
More detailed installation instructions can be found here.
|Initially submitted on||September 25 2018 2:07PM|
|Last updated on||March 31 2021 10:00AM|
|Source GitHub||https://github.com/bjw34032/waveslim.git GitHub|
|Neuroconductor GitHub||https://github.com/neuroconductor/waveslim GitHub|
|Depends||R (2.11.0), graphics, grDevices, stats, utils|