An S4 object containing wavelet transform filter information.
An integer representing the length of the wavelet and scaling filters.
An integer representing the level of the wavelet filter.
A numeric vector of wavelet filter coefficients.
A numeric vector of scaling filter coefficients.
A character string indicating the class of the wavelet
transform filter. Possible values are "Daubechies",
"Least Asymetric", "Best Localized", and
"Coiflet". If the wt.filter object is generated from a
numeric vector of wavelet coefficients, wt.class is
"none".
A character string indicating the name of the wavlet
filter as listed in the Details section, above. If the
wt.filter object is generated from a numeric vector of
wavelet coefficients, wt.name is "none".
A character string indicating whether the resulting
wavelet transform object contains DWT or MODWT coefficients. Possible
values are "dwt" and "modwt".
Percival, D. B. and A. T. Walden (2000) Wavelet Methods for Time Series Analysis, Cambridge University Press.