Biomedical Signal Processing.

Catalog description

Semester course; 3 lecture hours. 3 credits. Prerequisites: Calculus and differential equations ( MATH 301 or equivalent), including Laplace and Fourier Transforms. Explores theory and application of discrete-time signal processing techniques in biomedical data processing. Includes discrete-time signals and systems, the Discrete/Fast Fourier Transforms (DFT/FFT), digital filter design and implementation, and an introduction into processing of discrete-time random signals.