extractFDAFourier: Fast Fourier transform features.

In mlr: Machine Learning in R

Fast Fourier transform features.

Description

The function extracts features from functional data based on the fast fourier transform. For more details refer to stats::fft.

Usage

extractFDAFourier(trafo.coeff = "phase")

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()

mlr documentation built on June 22, 2024, 10:51 a.m.