The function extracts discrete wavelet transform coefficients from the raw functional data. See wavelets::dwt for more information.
extractFDAWavelets(filter = "la8", boundary = "periodic")
(data.frame).
(character(1)
)
Specifies which filter should be used.
Must be one of d
|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 see help(wt.filter)
.
Defaults to la8
.
(character(1)
)
Boundary to be used.
“periodic” assumes circular time series,
for “reflection” the series is extended to twice its length.
Default is “periodic”.
Other fda_featextractor:
extractFDABsignal()
,
extractFDADTWKernel()
,
extractFDAFPCA()
,
extractFDAFourier()
,
extractFDAMultiResFeatures()
,
extractFDATsfeatures()