ECE 5415 - Applied Digital Signal Processing and Communications

Fall. 3 credits. Letter grades only.

Enrollment limited to: graduate students. Basic knowledge of programming is beneficial.

M. Sabuncu.

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.