kernel: Kernel for Reconstruction from Wavelet Ridges

In Rwave: Time-Frequency analysis of 1-D signals

Description

Computes the cost from the sample of points on the estimated ridge and the matrix used in the reconstruction of the original signal

Usage

kernel(node, phinode, nvoice, x.inc=1, x.min=node[1],
x.max=node[length(node)], w0=2 * pi, plot=FALSE)

Arguments

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 Q_2.
x.max	maximal value of x for the computation of Q_2.
w0	central frequency of the wavelet.
plot	if set to TRUE, displays the modulus of the matrix of Q_2.

Details

The kernel is evaluated using Romberg's method.

Value

matrix of the Q_2 kernel

References

See discussions in the text of "Time-Frequency Analysis".

See Also

gkernel, rkernel, zerokernel.

Rwave documentation built on May 2, 2019, 5:48 p.m.