ECE 3250 - Signals and Systems

Fall. 4 credits. Letter grades only (no audit).

Prerequisite: MATH 2930, MATH 2940, or permission of instructor.

D. Delchamps.

Course aims to provide students with a rigorous treatment of the fundamentals of discrete- and continuous-time signals and systems. The course makes use of sophisticated tools such as vector spaces of signals (e.g. bounded, summable, and square-summable signals) and orthogonal expansions in Hilbert space in addition to covering standard material on time- and frequency-domain analysis of signals and systems, including discrete- and continuous-time convolution, Fourier series, continuous- and discrete-time Fourier transforms, sampling theory, the DFT and FFT, and spectrograms. Homework assignments include a computational component where appropriate.

Outcome 1: Help students achieve a sophisticated understanding of fundamental signals and systems concepts.

Outcome 2: Help students achieve a facility with sophisticated signal-analysis tools useful in applications to ECE and beyond.

Outcome 3: Help students attain an appreciation of the central role that advanced mathematics plays in modeling, analysis, and design of engineering systems.