fastkernel {Rwave} | R Documentation |
Computes the cost from the sample of points on the estimated ridge and the matrix used in the reconstruction of the original signal, using simple trapezoidal rule for integrals.
fastkernel(node, phinode, nvoice, x.inc=1, x.min=node[1],
x.max=node[length(node)], w0=2 * pi, plot=FALSE)
node |
values of the variable b for the nodes of the ridge. |
phinode |
values of the scale variable a for the nodes of the ridge. |
nvoice |
number of scales within 1 octave. |
x.inc |
step unit for the computation of the kernel |
x.min |
minimal value of x for the computation of |
x.max |
maximal value of x for the computation of |
w0 |
central frequency of the wavelet |
plot |
if set to TRUE, displays the modulus of the matrix of |
Uses trapezoidal rule (instead of Romberg's method) to evaluate the kernel.
matrix of the Q_2
kernel.
See discussions in the text of “Practical Time-Frequency Analysis”.
kernel
, rkernel
, gkernel
,
zerokernel
.