Voltar para Processamento Digital de Sinais

4.7

376 classificações

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93 avaliações

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....

por JA

•Jul 02, 2017

Definitely an interesting course that is explained well. The math gets to a pretty high level after a few sections, but it still seems manageable to understand. I would recommend it for sure!

por GC

•Oct 02, 2018

A good course with awesome instructors, good for learning the basic level of signal processing. It will initiate you for more advanced levels of signal processing. Fun experience overall.

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90 avaliações

por Vítor Ramos

•Feb 16, 2019

It is of my opinion that digital signal processing (DSP) in this day and age is an absolute must-have knowledge.

The concepts that stem from DSP are pervasive in all forms of sciences and engineering, and it is very important to someone who seeks personal and professional development in these areas.

Prandoni and Vetterli are very experienced and charismatic fellows that present this absolutely essential discipline in a very progressive and intuitive manner.

The additional content provided is at the same time entertaining and informational.

It is very noticeable how much works has been put in this course by these two guys.

I recommend it for everyone interested in DSP who either seeks to complement their knowledge or for those with some basic mathematical "baggage" who are interested.

por David Mayevsky

•Feb 06, 2019

Maths is crazy hard. Too much theory. Too many coordinate systems shown.

por Douglas Atique

•Jan 28, 2019

Great review of DSP, with many insightful explanations I hadn't seen in college.

por RAJKUMAR BALACHANDRAN

•Jan 15, 2019

Very good course. I have learnt more than I have in my Undergrad engineering DSP course.

por Kanishka Sharma

•Jan 13, 2019

Very comprehensive course.

por Sandeep Bhat

•Jan 07, 2019

Excellent course ! The math quickly builds up and the video lectures become insufficient. That's when the worth of the textbook, practice problems and references is realized and one is motivated to dig deep. The homework problems are aptly challenging too. Highly recommended.

por Abdullah Aml

•Dec 26, 2018

This course is awesome it helped me a lot in my DSP course at my colleague .

por Shruti Kannan

•Dec 10, 2018

I enjoyed studying this course! I would recommend it to anyone who's interested in Signal processing, since the material is very engaging, and most of the concepts are accompanied with a worked out example. The quizzes were challenging and I had to spend a good amount of time trying to good score. I'd recommend everyone to try the practice homeworks and the quizzes (even if you are just auditing) as I felt like they played an important part in helping me understand all concepts.

Great platform, great content, excellent instructors, highly recommended!

por CHEN NI

•Dec 02, 2018

Just so awesome!

por kushagra Sahai

•Nov 16, 2018

A great course to learn the basics and intermediate concepts. Enjoyed working on the problems.

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