multires: Create Multi-resolution Plot In waved: Wavelet Deconvolution

Description

Depicts wavelet coefficients according to time and resolution level.

Usage

 `1` ```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.

`WaveD`
 ```1 2 3 4``` ```library(waved) data=waved.example(TRUE,FALSE) lidar.w=FWaveD(data\$lidar.blur,data\$g,F=7) multires(lidar.w,lo=3,hi=7) ```