regrec2

siginput

wavelet transform, output of <code><a href="/link/cwt?package=Rwave&version=1.2" rd-options="" data-mini-rdoc="Rwave::cwt">cwt</a></code>.

cwtinput

nbnodes

noct

nvoice

coefficient of the $Q_2$ term in reconstruction kernel

epsilon

if set to TRUE, displays original and reconstructed signals

plot

Reconstructs signal from a ``regularly sampled'' ridge,
in the wavelet case, from a precomputed kernel.

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).

regrec2: Reconstruction from a Ridge

Description

Usage

Arguments

Value

Details

References

See Also