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.


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install.packages("waveslim")

1.7.5.1 by Brandon Whitcher, 6 months ago


http://waveslim.blogspot.com, http://www2.imperial.ac.uk/~bwhitche/book


Browse source code at https://github.com/cran/waveslim


Authors: Brandon Whitcher


Documentation:   PDF Manual  


Task views: Empirical Finance, Medical Image Analysis, Time Series Analysis


BSD_3_clause + file LICENSE license


Depends on graphics, grDevices, stats, utils

Suggests fftw


Imported by EFDR, NSM3, SpatialVx, iWISA, spind, tswge.

Depended on by RHRV, W2CWM2C, adwave, brainwaver, wavemulcor, wmlf.

Suggested by GENEAclassify, ade4, dplR, subniche.


See at CRAN