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