Teaching

Introduction to Digital Signal Processing (EECS 351)

In this course, we cover signals and Hilbert spaces, discrete-time Fourier series and transforms, discrete-time systems, z-transform, discrete-time filter design. We also talk about 2D signals, image processing, and some fundamental machine learning techniques. At the end of the course, students work on a group project with a topic of their interest and create a website to describe their project.