wd.int {wavethresh} | R Documentation

## Computes "wavelets on the interval" transform

### Description

This function actually computes the "wavelets on the interval" transform.

NOTE: It is not recommended that the casual user call this function. The "wavelets on the interval" transform is best called in `WaveThresh` via the `wd` function with the argument bc argument set to `"interval"`.

### Usage

    wd.int(data, preferred.filter.number, min.scale, precond)

### Arguments

`data` | The data that you wish to apply the "wavelets on the interval" transform to.
`preferred.filter.number` | Which wavelet to use to do the transform. This is an integer ranging from 1 to 8. See the Cohen, Daubeches and Vial (1993) paper. Wavelets that do not "overlap" a boundary are just like the ordinary Daubechies' wavelets.
`min.scale` | At which resolution level to transform to.
`precond` | If true performs preconditioning of the input vector to try and ensure that simple polynomial sequences (less than in order to the wavelet used) map to zero elements.

### Details

(The `WaveThresh` implementation of the ``wavelets on the interval transform'' was coded by Piotr Fryzlewicz, Department of Mathematics, Wroclaw University of Technology, Poland; this code was largely based on code written by Markus Monnerjahn, RHRK, Universitat Kaiserslautern; integration into WaveThresh by GPN).

See the help on the "wavelets on the interval code" in the `wd` help page.

### Value

A list containing the wavelet transform of the `data`. We again emphasize that this list is not intended for human consumption, use the `wd` function with the correct `bc="interval"` argument.

### RELEASE

Version 3.9.6 (Although Copyright Piotr Fryzlewicz and Markus Monnerjahn 1995-9).

### See Also

`wd`, `wr`, `wr.int`.

### Examples

    #
    # The user is expected to call the wr
    # for inverting a "wavelets on the interval transform" and not to use
    # this function explicitly
    #

[Package wavethresh version 4.0-2 Index]