Package: Rwave
Version: 2.2
Date: 2010-04-16
Title: Time-Frequency analysis of 1-D signals
Author: S original by Rene Carmona <rcarmona@princeton.edu> and Bruno
Torresani <bruno.torresani@cmi.univ-mrs.fr>; R port by Brandon
Whitcher <bjw34032@users.sourceforge.net>; upgrade by Jonathan M. Lees<jonathan.lees@unc.edu>
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>
Depends: R (>= 2.14)
Description: 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.
License: GPL (>= 2)
URL: http://www.orfe.princeton.edu/~rcarmona/TFbook/tfbook.html,
http://r-forge.r-project.org/projects/rwave/
Packaged: 2014-05-08 14:49:39 UTC; lees
Repository: CRAN
Date/Publication: 2014-05-08 17:08:53
NeedsCompilation: yes

Package: Rwave
Version: 2.4-5
Date: 2017-03-11
Title: Time-Frequency Analysis of 1-D Signals
Author: S original by Rene Carmona <rcarmona@princeton.edu> and Bruno
Torresani <bruno.torresani@cmi.univ-mrs.fr>; R port by Brandon
Whitcher <bjw34032@users.sourceforge.net>; upgrade by Jonathan M. Lees<jonathan.lees@unc.edu>
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>
Depends: R (>= 2.14)
Description: A set 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.
License: GPL (>= 2)
URL: http://www.orfe.princeton.edu/~rcarmona/TFbook/tfbook.html,
http://r-forge.r-project.org/projects/rwave/
Packaged: 2017-03-21 14:01:30 UTC; lees
Repository: CRAN
Date/Publication: 2017-03-21 15:42:02 UTC
NeedsCompilation: yes