mrs.comp.thresh.level {SpherWave} | R Documentation |
This function calculates level-dependent thresholded SW coefficients.
mrs.comp.thresh.level(coef, site, netlab, eta, K, policy, Q, type)
coef |
coefficients of multi-scale SBF's |
site |
grid points of observation sites in radian |
netlab |
vector of labels representing sub-networks |
eta |
bandwidth parameters for Poisson kernel |
K |
the number of resolution levels to be thresholded in the decomposition |
policy |
threshold technique. At present the possible policies are `"universal"', `"fdr"' and `"Lorentz"'. |
Q |
parameter for the false discovery rate of `"fdr"' policy. |
type |
the type of thresholding. This can be `"hard"', `"soft"' or `"Lorentz"'. |
This function calculates level-dependent thresholded for selective reconstruction of fields.
talpha |
level-dependent thresholded SW coefficients |
Donoho, D.~L. and Johnstone, I.~M. (1994) Ideal spatial adaptation by wavelet shrinkage. Biometrika, 81, 425–455.
Oh, H-S. (1999) Spherical wavelets and their statistical analysis with applications to meteorological data. Ph.D. Thesis, Department of Statistics, Texas A&M University, College Station.
Oh, H-S. and Li, T-H. (2004) Estimation of global temperature fields from scattered observations by a spherical-wavelet-based spatially adaptive method. Journal of the Royal Statistical Society Ser. B, 66, 221–238.
mrs.comp.thresh.global
, mrsfield.comp.thresh.level