hf.cv

hf.cv

hf.cv(x, filter.number = 1, family = "DaubExPhase", min.level = 3, type = "hard")

Denoises a Gaussian contaminated vector using wavelet thresholding with a threshold chosen by ``leave-half-out" cross-validation. Requires WaveThresh3. Also see help to wd, threshold and wr in WaveThresh.

Takes:

x The noisy vector, its length must be a power of 2.

filter.number The filter number of the analysing wavelet. Can be set to 1, 2, ..., 10 for family == "DaubExPhase", or to 4, 5, ..., 10 for family == "DaubLeAsymm".

family The family of wavelet bases from which the wavelet filter.number is chosen. Can be set to "DaubExPhase" or "DaubLeAsymm".

min.level The minimum level thresholded.

type Type of thresholding, can be set to "hard" or "soft".

Returns:

est Denoised version of x.

x	The noisy vector, its length must be a power of 2.
filter.number	The filter number of the analysing wavelet. Can be set to 1, 2, ..., 10 for family == "DaubExPhase", or to 4, 5, ..., 10 for family == "DaubLeAsymm".
family	The family of wavelet bases from which the wavelet filter.number is chosen. Can be set to "DaubExPhase" or "DaubLeAsymm".
min.level	The minimum level thresholded.
type	Type of thresholding, can be set to "hard" or "soft".