waved (version 1.3)

scale: 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)

Value

Returns a positive estimate of the standard deviation of noise in the nonparametric regression model.

Arguments

yobs

a vector of dyadic length representing signal+(Gaussian noise)

L

lowest resolution level

deg

degree of Meyer wavelet

Author

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)