| maxithresh | R Documentation | 
Returns maxiset threshold for specified resolution levels.
maxithresh(data, g, L = 2, F = (log2(length(data)) - 1), eta = sqrt(6))
data | 
 data to be processed  | 
g | 
 sample of g  | 
L | 
 Lowest resolution level  | 
F | 
 Finest resolution level  | 
eta | 
 constant describing tail of noise distribution  | 
Returns maxiset threshold for coarse resolution level equal to L, and wavelet resolution levels L,...,F.
Marc Raimondo
Johnstone, I., Kerkyacharian, G., Picard, D. and Raimondo, M. (2004), 'Wavelet deconvolution in a periodic setting', Journal of the Royal Statistical Society, Series B 66(3),~547–573. with discussion pp.627-652.
Raimondo, M. and Stewart, M. (2006), ‘The WaveD Transform in R’, preprint, School and Mathematics and Statistics, University of Sydney.
WaveD
library(waved)
data=waved.example(TRUE,FALSE)
maxithresh(data$lidar.noisy,data$g,L=3,F=7)
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