IWaveD: Computes the Inverse WaveD transform

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

View source: R/functionINIT.R

Description

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

Usage

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IWaveD(w, C = 3, deg = 3, F = log2(length(w)))

Arguments

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

Value

Returns a vector of the same length as w, giving the inverse wavelet transform.

Author(s)

Marc Raimondo

References

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.

See Also

WaveD

Examples

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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

waved documentation built on May 29, 2018, 9:04 a.m.