Computation of Global and Local Coefficients of Multiscale SBF Representation

Description

This function generates global and local coefficients of multiscale SBF representation.

Usage

1
mracoef.comp(coef, site, netlab, eta)

Arguments

coef

coefficients of the initial SBF representation

site

grid points of observation sites in radian

netlab

vector of labels representing sub-networks

eta

bandwidth parameters for Poisson kernel

Value

beta

global coefficients of multiscale SBF representation

gamma

local coefficients of multiscale SBF representation. That is the detailed coefficients of SW

norm

norms of SW coefficients for sub-network

References

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.

Li, T-H. (1999) Multiscale representation and analysis of spherical data by spherical wavelets. SIAM Journal on Scientific Computing, 21, 924–953.

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

mrafield.comp

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