Description Usage Arguments Details Value Author(s) Examples
Calculates the coefficients for the discrete wavelet transformation
1 |
x |
A |
nlevels |
A |
filter |
A |
Performs a level J decomposition of the time series using the pyramid algorithm. The default J is determined by floor(log2(length(x)))
A field<vec>
that contains the wavelet coefficients for each decomposition level
James Balamuta, Justin Lee and Stephane Guerrier
1 2 3 4 5 6 7 |
Results of MODWT using haar filter with 6 levels:
Displaying only the first 6 coefficients...
Level 1 Wavelet Coefficients
-0.5154097 1.053872 -0.2625567 -0.2736885 -0.1443587 -0.6563173 ...
Level 2 Wavelet Coefficients
0.6648886 0.1275349 -0.4771462 -0.6093615 -0.5755298 0.05253529 ...
Level 3 Wavelet Coefficients
-0.4324668 -0.5193264 -0.6820166 0.05272893 0.4199327 0.7445505 ...
Level 4 Wavelet Coefficients
0.2871724 0.3948033 0.4591856 0.3995357 0.2700206 0.05856007 ...
Level 5 Wavelet Coefficients
0.05044408 0.04297379 0.02943181 -0.009765617 0.06226712 0.1188075 ...
Level 6 Wavelet Coefficients
0.0744104 0.06411294 -0.008083629 -0.009948806 0.05591394 0.05663235 ...
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.