Hi! As we know, the Hilbert-Huang transform is a powerfull tool in analysing signals. Nevertheless, some mathematical foundations concerning the Huang's algorithm are needed if we want to know things like atomic decompositions and N best-approximation theorems like Jackson type inequalities. Do someone try some connections with other subjects like evolutionary PDE's, Chirplet transform and/or Nonlinear Fourier transform? Thanks a lot
Hilbert-Huang (or Huang-Hilbert) transform: Mathematical foundations
Started by ●September 19, 2006