Chevron Left
Volver a Digital Signal Processing 1: Basic Concepts and Algorithms

Opiniones y comentarios de aprendices correspondientes a Digital Signal Processing 1: Basic Concepts and Algorithms por parte de École Polytechnique Fédérale de Lausanne

466 calificaciones

Acerca del Curso

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....

Principales reseñas


21 de jul. de 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 de jul. de 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

Filtrar por:

51 - 75 de 87 revisiones para Digital Signal Processing 1: Basic Concepts and Algorithms

por Dipanjan B

27 de dic. de 2021

T​he Quiz are very difficult.

por Harisha S B

11 de sep. de 2021

very good, more problematic.

por Teoh W K

10 de feb. de 2021

Difficult and Fruitful

por Omar S B

5 de dic. de 2020

Very Enjoyable Course

por Aditya S J

14 de may. de 2020

excellent and worthy

por MC

19 de nov. de 2021

Really good course


19 de abr. de 2021

very good sessions

por Santigopal K

19 de abr. de 2021

well experienced

por suresh d

9 de ago. de 2020

excellent quizzes

por S J T

6 de jun. de 2020

Excellent Course.

por Edwin S Y I

6 de ago. de 2020

Excelente curso!

por Hossein A M

6 de sep. de 2020

one of the best

por MD A R A

27 de sep. de 2020

Excellent !!!


7 de nov. de 2020

nice course

por Mudumala p

1 de nov. de 2020

good course


6 de ago. de 2020

Buen curso


2 de nov. de 2020


por Anil K

29 de oct. de 2020


por Ashwani g

9 de jul. de 2020


por Kalpukuri R

25 de abr. de 2022


por Benjamin M

20 de may. de 2022

Good introduction, lots of the material seemed like review for someone who has taken signals and systems course, but it also seems like the course wouldnt really be accesible without that prerequisite knowledge. Overall, I liked the course and the emphasis on viewing signals and vectors and the vast use of linear algebra concepts.

por Jean-Philippe L

20 de jun. de 2022

The content is very interesting, but the stuff covered in the vlogs does not reflect the complexity or encompass the range of some questions in the graded homeworks. Reading the textbook was essential.

por Ivan V S

21 de sep. de 2021

V​ery intersting and apply course, accompanied by cool and comprehensive python demonstrations but sometimes it's overloaded with usefulless and complicated math.

por Alla Z

20 de sep. de 2020

Such a wonderful course, great instructors, and well structured.

However, a little bit too involved and the concepts can be a little tricky to comprehend at times.

por Sree H V

20 de may. de 2021

Thank you! I got a basic idea regarding digital signal processing and why we prefer digital signals and real-life problems are really cool.