thresh.level: Level-dependent Thresholding of SW Coefficients

In SpherWave: Spherical Wavelets and SW-based Spatially Adaptive Methods

Description

This function calculates level-dependent thresholded SW coefficients.

Usage

thresh.level(x, norm, policy, Q, type) 

Arguments

x	coefficients of multiscale SBF's
norm	norm of multiscale SBF's (SW)
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"’.

Value

tgamma

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.level

SpherWave documentation built on April 14, 2017, 1:28 p.m.