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 >

Documentation

 
From within R, enter citation('waveslim')

 

If you have any problems with this package you can open a new issue or check the already existing ones here.

 
  Versions(Pending - no previous version)
 
To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# Default Install
neuro_install('waveslim')

# 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
Package type standard
Source GitHub https://github.com/bjw34032/waveslim.git GitHub
Neuroconductor GitHub https://github.com/neuroconductor/waveslim GitHub
DependsR (2.11.0), graphics, grDevices, stats, utils
Suggestsfftw, covr