IWaveD: Computes the Inverse WaveD transform
In waved: Wavelet Deconvolution

Description Usage Arguments Value Author(s) References See Also Examples

Computes the Inverse WaveD transform based on a vector of wavelet coefficients.

1	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', 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)
lidar.w=FWaveD(data$lidar.blur,data$g)  # lidar.blur is lidar*g 
IWaveD(lidar.w)               # same as lidar