denwd: Wavelet decomposition of empirical scaling function...

In wavethresh: Wavelets Statistics and Transforms

Wavelet decomposition of empirical scaling function coefficients of a p.d.f.

Description

Performs wavelet decomposition on the empirical scaling function coefficients of the probability density function.

Usage

denwd(coef)

Arguments

coef	Output from denproj

Details

The empirical scaling function coefficients are decomposed using the DWT with zero boundary conditions.

Value

An object of class wd.object

Author(s)

David Herrick

See Also

denproj,plotdenwd,wd, denwr

Examples

# Simulate data from the claw density, find the empirical
# scaling function coefficients, decompose them and plot
# the resulting wavelet coefficients
 
data <- rclaw(100)
datahr <- denproj(data, J=8, filter.number=2,family="DaubExPhase")
data.wd <- denwd(datahr)
## Not run: plotdenwd(data.wd, top.level=(datahr$res$J-1))

wavethresh documentation built on Nov. 16, 2022, 5:16 p.m.