.BG
.FN rkernel
.TL
Kernel for Reconstruction from Wavelet Ridges
.DN
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 "kernel".
.CS
rkernel(node, phinode, nvoice, x.inc=1, x.min=node[1], x.max=node[length(node)], w0=2 * pi, plot=F)
.RA
.AG node
values of the variable b for the nodes of the ridge.
.AG phinode
values of the scale variable a for the nodes of the ridge.
.AG nvoice
number of scales within 1 octave.
.OA
.AG x.inc
step unit for the computation of the kernel.
.AG x.min
minimal value of x for the computation of Q_2.
.AG x.max
maximal value of x for the computation of Q_2.
.AG w0
central frequency of the wavelet.
.AG plot
if set to TRUE, displays the modulus of the matrix of Q_2.
.RT
matrix of the Q_2 kernel
.SE
.DT
Uses Romberg's method for computing the kernel.
.SH REFERENCES
See discussions in the text of "Time-Frequency Analysis".
.SA
"kernel", "fastkernel", "gkernel", "zerokernel"
.EX
