R: Discrete Hilbert Wavelet Transforms

Hilbert {waveslim} | R Documentation

## Discrete Hilbert Wavelet Transforms

### Description

The discrete Hilbert wavelet transforms (DHWTs) for seasonal and time-varying time series analysis. Transforms include the usual orthogonal (decimated), maximal-overlap (non-decimated) and maximal-overlap packet transforms.

### Usage

    dwt.hilbert(x, wf, n.levels=4, boundary="periodic", ...)
    dwt.hilbert.nondyadic(x, ...)
    idwt.hilbert(y)
    modwt.hilbert(x, wf, n.levels=4, boundary="periodic", ...)
    imodwt.hilbert(y)
    modwpt.hilbert(x, wf, n.levels=4, boundary="periodic")

### Arguments

`x` | Real-valued time series or vector of observations.
`wf` | Hilbert wavelet pair
`n.levels` | Number of levels (depth) of the wavelet transform.
`boundary` | Boundary treatment, currently only `periodic` and `reflection`.
`y` | Hilbert wavelet transform object (list).
`...` | Additional parametes to be passed on.

### Author(s)

B. Whitcher

### References

Selesnick, I. (200X). IEEE Signal Processing Magazine

Selesnick, I. (200X). IEEE Transactions in Signal Processing

Whither, B. and P.F. Craigmile (2004). Multivariate Spectral Analysis Using Hilbert Wavelet Pairs, International Journal of Wavelets, Multiresolution and Information Processing, to appear.

### See Also

`hilbert.filter`

[Package waveslim version 1.8.3 Index]