wv (version 0.1.2)

dwt: Discrete Wavelet Transform

Description

Calculation of the coefficients for the discrete wavelet transformation

Usage

dwt(x, nlevels = floor(log2(length(x))), filter = "haar")

Value

A field<vec> that contains the wavelet coefficients for each decomposition level

Arguments

x

A vector with dimensions N x 1.

nlevels

A integer indicating the $J$ levels of decomposition.

filter

A string indicating the filter name

Author

James Balamuta, Justin Lee and Stephane Guerrier

Details

Performs a level $J$ decomposition of the time series using the pyramid algorithm. The default $J$ is determined by $floor\left(lo{g}_2\left(length\left(x\right)\right)\right)$

Examples

set.seed(999)
x = rnorm(2^8)
ret = dwt(x)

summary(ret)

plot(ret)