hf.bt {haarfisz} | R Documentation |
Denoises a Gaussian contaminated vector using a version of the wavelet-based ``greedy tree" algorithm by Baraniuk, see the reference in the thesis.
hf.bt(x, filter.number = 1, family = "DaubExPhase", min.level = 3, noise.level = NULL)
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. |
noise.level |
Standard deviation of the noise, can be set to a positive number or NULL; in the latter case it will be estimated using MAD. |
Returns:
item{est}{Denoised version of x
.}
Piotr Fryzlewicz