Open AccessEfficient prediction of stochastic eye patterns via Lagrange interpolation
Author(s) -
Manfredi P.,
Stievano I.S.,
Canavero F.G.
Publication year - 2013
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2013.1043
Subject(s) - lagrange polynomial , interpolation (computer graphics) , computer science , artificial intelligence , mathematics , algorithm , mathematical optimization , motion (physics) , class (philosophy)
The statistical assessment of system performance is addressed via the efficient estimation of eye diagram parameters under process variability. Statistical information pertaining to eye parameters is reconstructed by interpolation of a reduced set of simulations. The proposed strategy shows a remarkable efficiency improvement with respect to classical blind and brute‐force sampling‐based methods.