IWaveD {waved} | R Documentation |
Computes the Inverse WaveD transform based on a vector of wavelet coefficients.
IWaveD(w, C = 3, deg = 3, F = log2(length(w)))
w |
vector of wavelet coefficents, must be of dyadic length; typically returned by the function FWaveD |
C |
coarse resolution level |
deg |
degree of the Meyer wavelet |
F |
fine resolution level |
Returns a vector of the same length as w, giving the inverse wavelet transform.
Marc Raimondo
Johnstone, I., Kerkyacharian, G., Picard, D. and Raimondo, M. (2004), `Wavelet deconvolution in a periodic setting', {em Journal of the Royal Statistical Society, Series B} {bf 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.
library(waved) data=waved.example(TRUE,FALSE) lidar.w=FWaveD(data$lidar.blur,data$g) # lidar.blur is lidar*g IWaveD(lidar.w) # same as lidar