Discrete Wavelet transform features.

Source: R/extractFDAFeaturesMethods.R

The function extracts discrete wavelet transform coefficients from the raw functional data. See wavelets::dwt for more information.

extractFDAWavelets(filter = "la8", boundary = "periodic")

Arguments

filter	(character) Specifies which filter should be used. Default is “la8”.
boundary	(character) 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: extractFDAFPCA, extractFDAFourier, extractFDAMultiResFeatures