Who is this class for: This course is primarily designed for STEM undergraduates who have already completed classes in calculus and linear algebra. It is also ideal as a Digital Signal Processing primer for students interested in a mathematically solid introduction to the subject. Note that this class is NOT a hands-on, applied DSP course. While many programming examples are provided, the focus is on the theory and not on the implementation.

Created by:  École Polytechnique Fédérale de Lausanne

  • Paolo Prandoni

    Taught by:  Paolo Prandoni, Lecturer

    School of Computer and Communication Science

  • Martin Vetterli

    Taught by:  Martin Vetterli, Professor

    School of Computer and Communication Sciences
Commitment8-10 hours/week
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said

How It Works

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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École Polytechnique Fédérale de Lausanne
Ratings and Reviews
Rated 4.6 out of 5 of 135 ratings

Hello, A good course with a definitely distinct approach to DSP. The lectures at times seem brief. But that is good because all the information is there and makes re-listening the lecture easy. I was familiar with the topic NOT as a DSP professional but as a circuit designer for many years. If this was my first introduction to DSP then the effort required might have been daunting. The lectures cover some really advanced topics like OFDM and makes them so accessible by carrying the essence of those ideas.

I thank the professors and have bought their Communications textbook. Hoping for a Comm system class :) Best, Ravi

Pretty good illustrations! But kind of like a mixture of signals and systems, communication theories and DSP courses. Hope the assignments can be done in more languages like MATLAB or C.

This is one of the best courses in DSP I have ever seen. The main advantage of this course over so many of its kind is the extra materials that show to the students how to do things in the real life. Take filters design as an example, I can say anyone who is willing to get his hands dirty is able to design filters using numpy, scipy, and matplotlib and implement them in C for embedded platforms and more. thank you to this course.

A very big thanks coming straight from my heart to the instructors and everyone who have participated to this effort.

Thanks again!!!


Nice course