EE 3100 - Introduction to Signal Processing

3 Credit(s) | $49.50 Fee

This class will familiarize students with the basic elements of signal processing. It will teach the key concepts in discrete- and continuous-time signals and systems including frequency domain analysis, linear time invariant systems, Fourier transforms, and filtering. The students will learn how to sample and reconstruct analog signals. The course will include a methodology to solve problems in signal processing numerically using programming languages (e.g. Matlab). (Fall) [Graded Letter]

Prerequisite(s): ENGR 2170 and EE 2250 - Prerequisite Min. Grade: D-