Tags:bit error rate, high speed channels, jitter, machine learning, modeling and polynomial chaos theory
Abstract:
Traditional approaches of data dependent jitter estimation in nonlinear high-speed links can be extremely time consuming. Therefore, this paper proposes developing a surrogate model by using the Polynomial Chaos theory to expedite this process.
Polynomial Chaos modeling for Jitter estimation in high-speed links