Independent Components Analysis Techniques for Functional Data
Description
Performs smoothed (and non-smoothed) principal/independent components analysis
of functional data. Various functional pre-whitening approaches are implemented as
discussed in Vidal and Aguilera (2022) “Novel whitening approaches in functional
settings", . Further whitening representations of functional
data can be derived in terms of a few principal components, providing an avenue
to explore hidden structures in low dimensional settings: see Vidal,
Rosso and Aguilera (2021) “Bi-smoothed functional independent component
analysis for EEG artifact removal”, .