scale: Estimates standard deviation of noise

In waved: Wavelet Deconvolution

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

WaveD

Examples

library(waved)
data=waved.example(TRUE,FALSE)
scale(data$lidar.noisy)

waved documentation built on May 29, 2024, 5:29 a.m.