scale {waved} | R Documentation |
Estimates standard deviation of noise
Description
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.
Usage
scale(yobs, L=3, deg=3)
Arguments
yobs |
a vector of dyadic length representing signal+(Gaussian noise) |
L |
lowest resolution level |
deg |
degree of Meyer wavelet |
Value
Returns a positive estimate of the standard deviation of noise in the nonparametric regression model.
Author(s)
Marc Raimondo
References
Raimondo, M. and Stewart, M. (2006), ‘The WaveD Transform in R’, preprint, School and Mathematics and Statistics, University of Sydney.
See Also
Examples
library(waved)
data=waved.example(TRUE,FALSE)
scale(data$lidar.noisy)
[Package waved version 1.3 Index]