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Bewertung und Feedback des Lernenden für Digital Signal Processing 1: Basic Concepts and Algorithms von École Polytechnique Fédérale de Lausanne

466 Bewertungen

Über den Kurs

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. In this series of four courses, you will 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....



21. Juli 2020

very good course, but it require some math and a brief reading of a book in signals, there are only few courses in coursera that are challenging, this is one of them, 10/10


15. Juli 2020

It is a really comprehensive course with quizzes that were a bit tricky and challenging. I liked the python notebooks for complementing the theory of the course

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26 - 50 von 87 Bewertungen für Digital Signal Processing 1: Basic Concepts and Algorithms

von Булат Р И

3. Dez. 2020

It will be great if there are more exercises. May be from some educational books. They could be optional. Thank you for your course! Very like your "signal of the day". It is great.

von el_dAna

19. Juli 2022

One of the mathematically engaging courses I have ever taken on Coursera. Be reminded to have patience to go through the math. Good luck.

von 肖湘

15. Feb. 2021

it's fantastic, i really enjoy it. the only thing can be prove is that could the instructor give solution to the excercise on the book?

von Prakriti M

6. Juni 2020

The lectures were extremely good. Concepts were well-explained. Very engaging lessons and coursework.

von Yashwanth

13. Sep. 2020

The state space approach to explaining the basics of signal processing has been handled well.

von Dylan L

15. Okt. 2021

The best courser to understand digital signal processing, and the labs are very interesting!

von Daniel R

27. Juni 2021

e​xcellent review of dsp fundamentals. Very thought provoking and challenging quiz questions

von Fenghua W

21. Aug. 2020

Lecture explains concepts very clearly. Python labs provide very good hands-on experience.

von Arbaaz J

27. Aug. 2020

Course was very interesting and the quizzes were tough but you definitely learn a lot.

von Daniel S

28. Dez. 2020

Really nice course, the topics were really understanbale and easy to get.


7. Aug. 2021

its good brief introduction to DFT, DFS and DTFT having a unifying theme

von akshaykiranjose

25. Apr. 2022

examples, corollaries and relevant talk are to the point.

von Balakrishna M

13. Aug. 2020

Amazing course and assignment questions are framed well .

von Soumya S M

31. Okt. 2020

The math was extremely difficult. But I made it through.

von IONCEAIrina

13. Sep. 2020


von Ashok M

22. Aug. 2020

One of the best course in DSP i have seen in my life

von عبدالحق م

14. Feb. 2022

this course is magnificently phenomenal, Thank you

von Yuri A P A

21. Juni 2021

The best! It can not be better, thank you ❤


3. Aug. 2020


von khaled Z A H

31. Juli 2020

superb teaching real super class professors

von Shou-Li H

12. Juli 2020

Great course. The course is very helpful.


30. Apr. 2021

Simply Excellent Course.. Loved it...!!!

von Carlos M

1. Dez. 2020

Sometimes the concepts are abstract.

von Jeiñazeith U

12. Jan. 2022

I have learned a lot.. thank you

von Runal K P

19. Apr. 2022

It was extremely well designed!