This question is inspired by measurements of an unsteady flow. I have some doubts about interpretation of principal component transform using Karhunen-Loeve theorem.
I have (centered $\equiv$ zero mean) data $X(\vec{x},t)$ and I decompose them using this method in such a way that:
$$ X(\vec{x},t) = \sum_k \Phi_k(\vec{x})\Psi_k(t) $$
so there are coupled modes for a space only (topos) and a time only (chronos).
- Are there any preconditions for a form and shape of the time modes (chronoi)?
E.g. when there is a process which would require a several peaks in frequency domain ("Fourier-like speaking") could it be decomposed in one non-pure-sine time mode only? (If the spatial action would be suitable for that.)
- The modes are related to the covariance matrix eigenvalues. Is there any estimation of how much energy (in a signal processing meaning) is already decomposed based on eigenvalues of used modes?