gkernel: Kernel for Reconstruction from Gabor 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

gkernel(node, phinode, freqstep, scale, x.inc=1, x.min=node[1],
x.max=node[length(node)], 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.
freqstep	sampling rate for the frequency axis.
scale	size of the window.
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.
plot	if set to TRUE, displays the modulus of the matrix of Q_2.

Value

matrix of the Q_2 kernel

References

See discussions in the text of “Time-Frequency Analysis”.

See Also

fastgkernel, kernel, rkernel, fastkernel, zerokernel.

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