Rwave: Time-Frequency analysis of 1-D signals

Rwave is a library of R functions which provide an environment for the Time-Frequency analysis of 1-D signals (and especially for the wavelet and Gabor transforms of noisy signals). It was originally written for Splus by Rene Carmona, Bruno Torresani, and Wen L. Hwang, first at the University of California at Irvine and then at Princeton University. Credit should also be given to Andrea Wang whose functions on the dyadic wavelet transform are included. Rwave is based on the book: "Practical Time-Frequency Analysis: Gabor and Wavelet Transforms with an Implementation in S", by Rene Carmona, Wen L. Hwang and Bruno Torresani, Academic Press, 1998.

Version: 2.2
Depends: R (≥ 2.14)
Published: 2014-05-08
Author: S original by Rene Carmona and Bruno Torresani; R port by Brandon Whitcher; upgrade by Jonathan M. Lees
Maintainer: Jonathan M. Lees <jonathan.lees at unc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.orfe.princeton.edu/~rcarmona/TFbook/tfbook.html, http://r-forge.r-project.org/projects/rwave/
NeedsCompilation: yes
Materials: NEWS
CRAN checks: Rwave results

Downloads:

Reference manual: Rwave.pdf
Package source: Rwave_2.2.tar.gz
Windows binaries: r-devel: Rwave_2.2.zip, r-release: Rwave_2.2.zip, r-oldrel: Rwave_2.2.zip
OS X Snow Leopard binaries: r-release: Rwave_2.2.tgz, r-oldrel: Rwave_2.2.tgz
OS X Mavericks binaries: r-release: Rwave_2.2.tgz
Old sources: Rwave archive

Reverse dependencies:

Reverse imports: RSEIS