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2016-2017 Undergraduate & Graduate Catalog

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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.

Credits: 3



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