multires: Create Multi-resolution Plot

In waved: Wavelet Deconvolution

Description

Depicts wavelet coefficients according to time and resolution level.

Usage

multires(wcUntrimmed,lowest=3,coarse=3,highestplot=NULL,descending=FALSE,sc = 1)

Arguments

wcUntrimmed	Vector of wavelet coefficients; must be of dyadic length.
lowest	Lowest resolution level.
coarse	Coarse resolution level; same as lowest.
highestplot	Highest resolution level.
descending	logical indicating whether resolutions are depicted with highest at the top of the plot (FALSE, the default), or at the bottom (TRUE).
sc	graphical scaling parameter of heights of lines representing wavelet coefficients; default is 1.

Value

Depicts wavelet coefficients according to time (horizontal axis) and resolution level lowest, lowest+1,...,highestplot.

Author(s)

Marc Raimondo and Michael Stewart

References

Donoho, D. and Raimondo, M. (2004), ‘Translation invariant deconvolution in a periodic setting’, The International Journal of Wavelets, Multiresolution and Information Processing 14(1),~415–423.

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

library(waved)
data=waved.example(TRUE,FALSE)
lidar.w=FWaveD(data$lidar.blur,data$g,F=7)
multires(lidar.w,lo=3,hi=7)

waved documentation built on May 2, 2019, 3:21 a.m.