Todo: add description
WaveFEX(type = "PO", obs, qmf, scale = log2(nrow(obs)), iwt = F, alpha = F)contj Matrix scale x p of Squared norm of the wavelet coefficient at each scale.
wc wavelet coefficients matrix.
Orthogonal transform: PO or translation invariant transform:TI.
A matrix of n x p functional data (n should be a power of 2).
Orthonormal quadrature mirror filter.
Finest scale of the decomposition.
Logical to specify forward (FALSE) or inverse (TRUE) wavelet transform.
Logical TRUE to include scaling coefficients at the first scale.
Antoniadis, A., Brossat, X., Cugliari, J., & Poggi, J. M. (2013). Clustering functional data using wavelets. Int. J. Wavelets Multiresolution Inf. Process., 11(01), 1350003.
Cheam, A., Fredette, M., Marbac, M., & Navarro, F. (2023). Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors. J. R. Stat. Soc., C: Appl. Stat., 72(2), 387-413.