R: Kernel for Reconstruction from Wavelet Ridges

rkernel {Rwave} | R Documentation

## Kernel for Reconstruction from Wavelet 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, in the case of real constraints. Modification of the function `kernel`.

### Usage

    rkernel(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

Uses Romberg's method for computing the kernel.

### Value

matrix of the Q_2 kernel

### References

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

### See Also

`kernel`, `fastkernel`, `gkernel`, `zerokernel`.

[Package Rwave version 2.4-8 Index]