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Digital Signal Processing

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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Rating 4.6 based on 147 ratings
Length 9 weeks
Effort 8-10 hours/week
Starts Mar 2 (217 weeks ago)
Cost $49
From École polytechnique fédérale de Lausanne via Coursera
Instructors Paolo Prandoni, Martin Vetterli
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Engineering
Tags Computer Science Algorithms Physical Science And Engineering Electrical Engineering

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What people are saying

digital signal processing

This is a fantastic course -- thank you to Professors Prandoni and Vetterli for providing such a high quality course on digital signal processing at no cost.

It really builds your fundamental understanding of Digital Signal Processing As the textbook from which the material is taken states, "the level of mathematical abstraction is probably higher than in several other texts on signal processing".

Especially in the tests, where the lectures alone are not always providing enough information.I should also mention that if you work, have family and other private activities, the course is quite demanding, mainly due to the time and volume per week.Overall it is an excellent course, which is definitely worth the effort if you want to learn digital signal processing in a comprehensible way!

Great in every aspect, can't wait for Advanced Digital Signal Processing class from EPFL!

Unclear lectures too brief to learn Excellent teaching of digital signal processing theory and techniques.

Good one The content of this course is really useful and contains the key points of digital signal processing.

Its is very helpful for me to study and understand this course Excellent course with fantastic and passionate teachers A mathematical and, to a lesser extent, a programming and standards (ITU) perspective of Digital Signal Processing.

waiting for a stochastic and adaptive signal processing course The best course on Digital Signal Processing taught in the most coolest way :-) A pretty math-heavy class, but it is very rewarding in terms of understanding Fourier analysis and DSP.

Nice course 配上中文字幕 This is a power packed and intellectually challenging course in digital signal processing, covering a broad range of topics from a little linear algebra to filters and communication systems.

I highly recommend this course for those who want to get their feet wet in the broad digital signal processing domain.

This course is strongly oriented toward both an introduction, and a synthesis of basic digital signal processing techniques.

I found this course chiefly helpful in developing intuitions about digital signal processing, and the video lectures are very clear and helped me to understand concepts better.

Very Interesting course This course helped me to master signal and system and discover the mathematical and analysis aspects of digital signal processing.

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.

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more advanced

I'm so glad I persisted because this subject is foundational to more advanced studies and has provided a view into our digital age that I could not find anywhere else.

If you get through the course, you will have a preliminary handling of some of the fundamental topics in DSP and hopefully be ready for a more advanced course.

I was very happy with the course, and felt that it prepared me well to go on to more advanced studies.

It will initiate you for more advanced levels of signal processing.

Please do part 2, the continuation to more advanced signal processing..

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comment on lectures

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[In response to: Comment on lectures - Perspectives of Stanford Students with a Disability.]

[In response to: Comment on lectures - Issues of Human Interface Design.]

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Digital Signal Processing Repair Technician $50k

Signal Officer Trainee $52k

Signal Officer 3 $61k

Squadron Signal Officer $63k

Engineer - Signal Processing 5 $70k

Digital Signal Processing (DSP) Engineer $72k

Supervisor Signal Engineer $80k

Signal Analyst $82k

Signal Officer Contractor $84k

DSP Engineer (Digital Signal Processing) $99k

Signal Engineer 1 $99k

Senior Signal Inspector $106k

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Rating 4.6 based on 147 ratings
Length 9 weeks
Effort 8-10 hours/week
Starts Mar 2 (217 weeks ago)
Cost $49
From École polytechnique fédérale de Lausanne via Coursera
Instructors Paolo Prandoni, Martin Vetterli
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Engineering
Tags Computer Science Algorithms Physical Science And Engineering Electrical Engineering

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