ECE 5415

Applied Digital Signal Processing and Communications

Course Description

Course information provided by the 2025-2026 Catalog.

This course teaches some fundamentals of digital signal processing (DSP) and communication using a balanced mix between math and hands-on experiments. The course will start by teaching basic concepts in signals and systems. We will then cover topics in time-frequency analysis, sampling, filters, audio signal communication, quantization, source coding, and compressed sensing. We will use multiple hands-on programming assignments to demonstrate the concepts we cover in class and problem sets that will help students practice with the theory. A background in linear algebra and probability will be critical to follow the theoretical aspects. All coding will be done in Python.

Enrollment Priority REF-FA25 Enrollment limited to: graduate students.

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