R: Kernel for Reconstruction from Wavelet Ridges

rwkernel {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

### Usage

    rwkernel(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`.

[Package Rwave version 2.4-8 Index]