modwt_cpp: Maximum Overlap Discrete Wavelet Transform
In SMAC-Group/wv: Wavelet Variance
modwt_cpp R Documentation
Maximum Overlap Discrete Wavelet Transform
Description
Calculation of the coefficients for the discrete wavelet transformation
Usage
modwt_cpp(x, filter_name, nlevels)
Arguments
x
A vector with dimensions N\times 1.
filter_name
A string indicating the filter.
nlevels
An integer, J, indicating the level of the decomposition.
Details
Performs a level J decomposition of the time series using the pyramid algorithm.
Use this implementation to supply custom parameters instead of modwt(x),
which serves as a wrapper function.
Value
y A field<vec> that contains the wavelet coefficients for each decomposition level
Author(s)
James Balamuta and Justin Lee
SMAC-Group/wv documentation built on Sept. 4, 2023, 5:15 a.m.
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| modwt_cpp | R Documentation |
Maximum Overlap Discrete Wavelet Transform
Description
Calculation of the coefficients for the discrete wavelet transformation
Usage
modwt_cpp(x, filter_name, nlevels)
Arguments
x |
A |
filter_name |
A |
nlevels |
An |
Details
Performs a level J decomposition of the time series using the pyramid algorithm. Use this implementation to supply custom parameters instead of modwt(x), which serves as a wrapper function.
Value
y A field<vec> that contains the wavelet coefficients for each decomposition level
Author(s)
James Balamuta and Justin Lee
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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