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

WaveD

Examples

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

[Package waved version 1.0 Index]