MECT 3300 [0.5 credit] Signal Processing
It covers linear continuous-time, discrete-time signal processing, sampling theorem, quantization, aliasing, quantization, behavior of sampled-data systems, z-transform, FFT, and basic filter design, equipping students with foundational tools for analyzing and designing digital signal processing systems.
Prerequisite(s): MATH 3705.
3 hours lecture a week, 2 hours laboratory a week (software tools only—such as MATLAB—with no hardware components involved).
3 hours lecture a week, 2 hours laboratory a week (software tools only—such as MATLAB—with no hardware components involved).