Signals and Systems

Catalog description

This course prepares mathematical tools for modeling and analysis of linear time invariant (LTI) systems. Topics include continuous- and discrete-time signals and systems, properties of LTI systems, convolution, Fourier series, continuous and discrete Fourier transforms, Laplace and Z transforms, and applications such as sampling, modulation, filtering, and digital signal processing in the electrical, mechanical, and biomedical engineering fields. Prerequisite(s): MATH 310 and ENGR 260 When Offered: Every Spring