R: Kernel for Reconstruction from Gabor Ridges

fastgkernel {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, using simple trapezoidal rule for integrals.

### Usage

    fastgkernel(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 frequency variable ω 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 G_2.
`x.max` | maximal value of x for the computation of G_2.
`plot` | if set to TRUE, displays the modulus of the matrix of G_2.

### Details

Uses trapezoidal rule (instead of Romberg's method) to evaluate the kernel.

### Value

matrix of the G_2 kernel.

### References

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

### See Also

`gkernel`, `fastkernel`, `rkernel`, `zerokernel`.

[Package Rwave version 2.5-0 Index]