MECT 3300
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.
Topics
- linear continuous-time
- discrete-time signal processing
- sampling theorem
- quantization
- aliasing
- behavior of sampled-data systems
- z-transform
- basic filter design
Course catalogue
Prerequisites & course information
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).
Sources
- Course catalogue ↗2026–2027