The function extracts discrete wavelet transform coefficients from the raw functional data. See wavelets::dwt for more information.
Arguments
- filter
(
character(1)
)
Specifies which filter should be used. Must be one ofd
|la
|bl
|c
followed by an even number for the level of the filter. The level of the filter needs to be smaller or equal then the time-series length. For more information and acceptable filters seehelp(wt.filter)
. Defaults tola8
.- boundary
(
character(1)
)
Boundary to be used. “periodic” assumes circular time series, for “reflection” the series is extended to twice its length. Default is “periodic”.
Value
(data.frame).
See also
Other fda_featextractor:
extractFDABsignal()
,
extractFDADTWKernel()
,
extractFDAFPCA()
,
extractFDAFourier()
,
extractFDAMultiResFeatures()
,
extractFDATsfeatures()