2016-2017 Undergraduate & Graduate Catalog
EGR 635 - Biomedical Signal Modeling
This course introduces engineering graduate students to advanced signal processing techniques for analyzing complex physiological systems and processes. It provides a modeling-based approach for biomedical signal processing. Topics include auto-regressive moving average (ARMA) modeling, nonlinear modeling, stochastic modeling, time-frequency analysis, adaptive filtering, and wavelets. Offered fall semester. Prerequisite: Admission to M.S.E. program.