tfmean

time-frequency transform (output of <code><a href="/link/cwt?package=Rwave&version=1.2" rd-options="" data-mini-rdoc="Rwave::cwt">cwt</a></code> or <code><a href="/link/cgt?package=Rwave&version=1.2" rd-options="" data-mini-rdoc="Rwave::cgt">cgt</a></code>).

input

if set to T, displays the values of the energy as a 
function of the scale (or frequency).

plot

Compute the mean of time-frequency representation frequency 
by frequency.

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).

tfmean: Average frequency by frequency

Description

Usage

Arguments

Value

References

See Also