ridrec

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

node

phinode

noct

nvoice

inverse of the matrix $Q$ of the quadratic form.

Qinv

coefficient of the $Q_2$ term in reconstruction kernel

epsilon

number of samples of the reconstructed signal.

if set to TRUE, computes <code><a href="/link/cwt?package=Rwave&version=1.2" rd-options="" data-mini-rdoc="Rwave::cwt">cwt</a></code> of reconstructed signal.

check

if set to TRUE, uses only constraints on the real part of the transform.

real

Reconstructs signal from sample of a ridge,
in the wavelet case.

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).

ridrec: Reconstruction from a Ridge

Description

Usage

Arguments

Value

References

See Also