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Voltar para Digital Signal Processing 1: Basic Concepts and Algorithms

Comentários e feedback de alunos de Digital Signal Processing 1: Basic Concepts and Algorithms da instituição Escola Politécnica Federal de Lausana

4.5
estrelas
354 classificações
66 avaliações

Sobre o 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....

Melhores avaliações

JA
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

MF
3 de Nov de 2020

If you have enough patience to go through the math, you'll find this course and the subsequent courses in the specialization extremely rewarding.

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51 — 66 de 66 Avaliações para o Digital Signal Processing 1: Basic Concepts and Algorithms

por Anil K

29 de Out de 2020

Good

por Ashwani g

9 de Jul de 2020

Nice

por Alla Z

20 de Set 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 Mai 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.

por Kaustav S

29 de Jul de 2020

Concepts were slightly advanced, but well structured

por Maneesha S

7 de Out de 2020

Good course to get started with signal processing

por saiteja g

16 de Mai de 2020

excellence is synonym of this course

por david c

7 de Out de 2020

It is very good

por eduarda c

9 de Nov de 2020

learned a lot

por siddharth j

26 de Mai de 2020

good course

por Sridivya K

21 de Nov de 2020

good

por Vladimir R P B

29 de Dez de 2020

The video lectures are great, but the quizes are awful. The practice homework you are given doesn't prepare you at all for them and the quizes have zero feedback, so often you can't be sure of what you are doing wrong and learning from your mistakes is very difficult. If you add that the course and the quizes are quite mathy, it can get very frustrating. I can only recomend this course to people who already know the subject and want to refresh his memories, to very mathy people or to extremely patient people.

por Fernando D P

1 de Jul de 2020

It is a complex course, you should refresh your calculus knowledge before starting it. I was looking for a practical approach, the course has python notebook but I still missed practical content, with real examples and put aside formulas and analytical expressions.

por Muhammed A Ç

27 de Mar de 2021

If you don't have any signals of systems background, course is not much explanatory. Also, to understand mathematical equations you should know the theory behind them very well before taking that course

por PIYUSH G

26 de Ago de 2020

needs improvement for numerical explanation.

por Francisco

24 de Abr de 2021

Frustrating graders don't waste your money/time here