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
How It Works
Coursework
Coursework

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

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Certificates

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Creators
École Polytechnique Fédérale de Lausanne
Ratings and Reviews
Rated 4.7 out of 5 of 52 ratings

This course is very helpful for me to complete my academics with it.

A mathematical and, to a lesser extent, a programming and standards (ITU) perspective of Digital Signal Processing. If you have solid maths skills and are comfortable on the complex plane this excellent course is well worth the time and effort.

I am feeling very honor to complete this on-line course in your organization, i am feeling very thankful to this organization because you helped me financially to complete this course.I will educate my neighbors and friends to do on-line courses in this organization

The course is very good. I have learned a lot of things from the theoretical and practical parts of the course. I like the mathematical derivations and the signal of the day. I wish you can give advanced course about adaptive filter design, advanced digital communications and audio processing. Thanks to the staff!