RECENT ADVANCES IN ADAPTIVE SYSTEM IDENTIFICATION BASED ON SPARSE SIMULATION-BASED FREQUENCY-DOMAIN DATA

摘要

Accurate simulation and modeling of complex multi-port LTI systems can be computationally very expensive and resource-demanding. Adaptive system identification techniques, that combine adaptive sampling and modeling algorithms, can be used to minimize the number of costly data samples, and to build accurate broadband models in a limited amount of time. This paper gives a survey of several recent advances in the world of deterministic system identification, based on sparse and costly data.