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
LevelIntermediate
Commitment8-10 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See what learners said
Syllabus

FAQs
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Coursework
Coursework

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

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Creators
École Polytechnique Fédérale de Lausanne
Ratings and Reviews
Rated 4.7 out of 5 of 72 ratings

Excellent teaching of digital signal processing theory and techniques. Even form an engineering student who already has most on the material, is a very good review source.

Good one

The content of this course is really useful and contains the key points of digital signal processing.

This is a great review and reference for the fundamental knowledge of DSP. The class uses the concept of vector space and basis to explain all the linear transform in signal processing, which helps my understand of the material. You probably need some background of college sophomore and junior level math and system knowledge, but the math in this class is not dull. Rather, it focuses on applying on practical problems, especially on music signal process.

In the filter section, there are not much material about windowing. But in general, the material is adequate as an entry level class of DSP.

The only thing I don't like of the class is it does not provide the lecture slides. I like to take notes when watching the video, and I found it much easier to go back reviewing the material or looking for reference when there is a paper copy in hand than digging into dozens of videos.