mrs.comp.thresh.level: Level-dependent Thresholding of SW Coefficients
In SpherWave: Spherical Wavelets and SW-based Spatially Adaptive Methods

Description Usage Arguments Details Value References See Also

This function calculates level-dependent thresholded SW coefficients.

1	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

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