The function extracts features from functional data based on the fast fourier transform. For more details refer to stats::fft.
Arguments
- trafo.coeff
(
character(1)
)
Specifies which transformation of the complex frequency domain representation should be calculated as a feature representation. Must be one of “amplitude” or “phase”. Default is “phase”. The phase shift is returned in Rad, i.e. values lie in [-180, 180].
Value
(data.frame).
See also
Other fda_featextractor:
extractFDABsignal()
,
extractFDADTWKernel()
,
extractFDAFPCA()
,
extractFDAMultiResFeatures()
,
extractFDATsfeatures()
,
extractFDAWavelets()