scale {waved} | R Documentation |
Estimates standard deviation of noise in the nonparametric signal+(Gaussian noise) regression model. Input vector must be of dyadic length and assumes a regular grid.
scale(yobs, L=3, deg=3)
yobs |
a vector of dyadic length representing signal+(Gaussian noise) |
L |
lowest resolution level |
deg |
degree of Meyer wavelet |
Returns a positive estimate of the standard deviation of noise in the nonparametric regression model.
Marc Raimondo
Raimondo, M. and Stewart, M. (2006), `The WaveD Transform in R', preprint, School and Mathematics and Statistics, University of Sydney.
library(waved) data=waved.example(TRUE,FALSE) scale(data$lidar.noisy)