mrs.comp.thresh.level {SpherWave}R Documentation

Level-dependent Thresholding of SW Coefficients

Description

This function calculates level-dependent thresholded SW coefficients.

Usage

mrs.comp.thresh.level(coef, site, netlab, eta, K, policy, Q, type) 

Arguments

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"'.

Details

This function calculates level-dependent thresholded for selective reconstruction of fields.

Value

talpha level-dependent thresholded SW coefficients

References

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.

See Also

mrs.comp.thresh.global, mrsfield.comp.thresh.level


[Package SpherWave version 1.1.0 Index]