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Learner Reviews & Feedback for Digital Signal Processing 4: Applications by École Polytechnique Fédérale de Lausanne

55 ratings

About the Course

Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice. To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course....

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1 - 6 of 6 Reviews for Digital Signal Processing 4: Applications

By Ben E

Sep 9, 2021

This course was challenging but very well made. I learned a lot and was able to reinforce what I already knew before.


Nov 8, 2020


By Mudumala p

Nov 3, 2020


By Evan Y

Jan 23, 2023

A nice "treat" after all the abstract theory. Found the image processing material more interesting than I expected. Wished the real-time audio processing had gotten a more thorough treatment. My biggest gripe (which was true for the rest of the courses in the specialization) is that the quizzes often relied on inferences or assumptions that were either not covered in the lectures or not clarified in the questions. This wouldn't be an issue if it was easy to get help and clarification, but it's not.

By atri p 2

Aug 1, 2022

A brilliant course.. many topics are covered in small length of time... but some assignment problems are tricky. You will learn a lot of signal procesing from this course..

P.S.- If anyone can attach a few Image processing referance books and pdfs, it will be easier to follow the lectures.


Jun 22, 2022

Fraud course. Tells wrong answers as correct ones. Questions are too much tough to solve that it became so much frustrating.