Biomedical Signals and Images

Undergraduate

Principles and methods used to represent, model, and process signals and images arising from biomedical sources. Topics include continuous and discrete linear systems analysis, Fourier analysis and frequency response, metrics for signal similarity, and noise filtering. Biomedical examples range from one-dimensional electrical signals in nerves and muscles to two-dimensional images of organs and cells. Prerequisite: MATH 1200 or ENAS 1510 . BENG 2800 , 3200 , and ENAS 1940 strongly recommended. QR TTh 11:35am-12:50pm