R: Kernel for Reconstruction from Gabor Ridges

gkernel {Rwave} | R Documentation

## Kernel for Reconstruction from Gabor Ridges

### 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`.

[Package Rwave version 2.6-0 Index]