DIGITAL SIGNAL PROCESSING
Sampling continuous-time signals and reconstruction of continuous-time signals from samples; spectral analysis of signals using the discrete Fourier transform; the fast Fourier transform and fast convolution methods; z-transforms; finite and infinite impulse response filter design techniques; signal flow graphs and introduction to filter implementation.
Prerequisites & course information
Requisites: E C E 330 , graduate/professional standing, or member of Engineering Guest Students Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Choose filter characteristics and parameters for sampling and interpolating signals Audience: Undergraduate 2. Relate pole and zero locations to system properties Audience: Undergraduate 3. Design discrete-time filters Audience: Undergraduate 4. Perform spectral analysis of signals Audience: Undergraduate 5. Perform signal processing operations using an engineering software package Audience: Undergraduate Learning Outcomes: 1. Choose filter characteristics and parameters for sampling and interpolating signals Audience: Undergraduate 2. Relate pole and zero locations to system properties Audience: Undergraduate 3. Design discrete-time filters Audience: Undergraduate 4. Perform spectral analysis of signals Audience: Undergraduate 5. Perform signal processing operations using an engineering software package Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027