rkernel

values of the variable b for the nodes of the ridge.

node

values of the scale variable a for the nodes of the ridge.

phinode

nvoice

step unit for the computation of the kernel.

x.inc

minimal value of x for the computation of $Q_2$.

x.min

maximal value of x for the computation of $Q_2$.

x.max

if set to TRUE, displays the modulus of the matrix of $Q_2$.

plot

Computes the cost from the sample of points on the estimated ridge
and the matrix used in the reconstruction of the original signal,
in the case of real constraints. Modification of the function
<code><a href="/link/kernel?package=Rwave&version=1.2" rd-options="" data-mini-rdoc="Rwave::kernel">kernel</a></code>.

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).

rkernel: Kernel for Reconstruction from Wavelet Ridges

Description

Usage

Arguments

Value

Details

References

See Also