mprefilter: Multiwavelet prefilter

In wavethresh: Wavelets Statistics and Transforms

Multiwavelet prefilter

Description

A multiwavelet prefilter turns a univariate sequence into a bivariate (in this case) sequence suitable for processing by a multiwavelet transform, such as mwd. As such, the prefilter is used on the forward transform.

Not intended for direct user use.

Usage

mprefilter(data, prefilter.type, filter.type, nlevels, nvecs.c,
    nphi, npsi, ndecim, verbose = FALSE)

Arguments

data	The univariate sequence that you wish to turn into a multivariate one
prefilter.type	Controls the type of prefilter (see Tim Downie's PhD thesis, or references therein. Types include Minimal, Identity, Repeat, Interp, default, Xia, Roach1, Roach3, Donovan3 or Linear
filter.type	The type of multiwavelet: can be Geronimo or Donovan3
nlevels	The number of levels in the multiwavelet transform
nvecs.c	Parameter obtained from the mfirst.last function related to the particular filters
nphi	The number of father wavelets in the system
npsi	The number of mother wavelets in the system
ndecim	The ndecim parameter (not apparently used here)
verbose	If TRUE then informative messages are printed as the function progresses

Details

Description says all

Value

The appropriate prefiltered data.

Author(s)

Tim Downie

See Also

mpostfilter,mwd

wavethresh documentation built on Nov. 16, 2022, 5:16 p.m.