FullWaveletCV | R Documentation |
Perform whole wavelet cross-validation in C code. This
routine equivalent to CWCV
except that
more preparatory material is passed to C code for speed.
The major difference is that only the cross-validated wavelet threshold is returned.
FullWaveletCV(noisy, ll = 3, type = "soft", filter.number = 10, family =
"DaubLeAsymm", tol = 0.01, verbose = 0)
noisy |
A vector of dyadic (power of two) length that contains the noisy data that you wish to apply wavelet shrinkage by cross-validation to. |
ll |
The primary resolution that you wish to assume. No wavelet coefficients that are on coarser scales than ll will be thresholded. |
type |
this option specifies the thresholding type which can be "hard" or "soft". |
filter.number |
This selects the smoothness of wavelet that you want to perform wavelet shrinkage by cross-validation. |
family |
specifies the family of wavelets that you want to use. The options are "DaubExPhase" and "DaubLeAsymm". |
tol |
this specifies the convergence tolerance for the cross-validation optimization routine (a golden section search). |
verbose |
Controls the printing of "informative" messages whilst the computations progress. Such messages are generally annoying so it is turned off by default. |
Description says all
The cross-validated wavelet threshold.
G P Nason
CWCV
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