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waved (version 1.3)

multires: Create Multi-resolution Plot

Description

Depicts wavelet coefficients according to time and resolution level.

Usage

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

Value

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

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.

Author

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

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

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