mrsfield.comp.thresh.level: Generation of Detailed Fields by Level-dependent Thresholding
In SpherWave: Spherical Wavelets and SW-based Spatially Adaptive Methods

Description Usage Arguments Details Value References See Also

This function generates detailed fields based on level-dependent thresholding of SW coefficients.

1 2	mrsfield.comp.thresh.level(grid, coef, site, netlab, eta, K, policy, Q, type)

`grid`	grid points of extrapolation sites in radian
`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 detailed fields.

dfield

level-dependent thresholded detailed fields

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.

sbf, swd, swthresh, swr

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