I have got review for my work saying, that my work (adaptive filter variant) should be analyzed in transient and steady-state before claiming it improves performance.
I have done common (in my opinion) analysis:
- prediction of linear system
- prediction of non-linear system
- prediction of real measured non-stationary data
How can I extend my analysis with transient and steady-state experiments? How the experimental data should look like?
Thank you in advance for any hint, note, reference or example. I am pretty sure that I am missing something basic.