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.


waveslim

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The R packages waveslim contains basic wavelet routines for time series (1D), image (2D) and array (3D) analysis. The code provided is based on wavelet methodology developed in

  • Percival and Walden (2000)
  • Gencay, Selcuk and Whitcher (2001)
  • the dual-tree complex wavelet transform (CWT) from Kingsbury (1999, 2001) as implemented by Selesnick, and
  • Hilbert wavelet pairs (Selesnick 2001, 2002)

Reference manual

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install.packages("waveslim")

1.8.5 by Brandon Whitcher, 2 years ago


https://waveslim.blogspot.com


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


Authors: Brandon Whitcher


Documentation:   PDF Manual  


BSD_3_clause + file LICENSE license


Depends on graphics, grDevices, stats, utils, multitaper

Suggests fftw, covr


Imported by EFDR, LSWPlib, NSM3, SignalY, SpatialVx, TSEAL, WASP, contagionchannels, cyclicwave, ravetools, spind, tswge, wqc, wqrr.

Depended on by MALDIrppa, RHRV, RolWinWavCor, VisualDom, W2CWM2C, adwave, wavemulcor.

Suggested by GENEAclassify, PSSMCOOL, ade4, subniche.


See at CRAN