Level-dependent Thresholding of SW Coefficients

Description

This function calculates level-dependent thresholded SW coefficients.

Usage

1
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

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