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Digital Signal Processing

This Specialization provides a full course in Digital Signal Processing, with a focus on audio processing and data transmission. You will start from the basic concepts of discrete-time signals and proceed to learn how to analyze data via the Fourier transform, how to manipulate data via digital filters and how to convert analog signals into digital format. Finally, you will also discover how to implement real-time DSP algorithms on a general-purpose microcontroller. The solid theoretical bases provided by the four courses in this specialization are complemented by applied examples in Python, in the form of Jupyter Notebooks; exercises with solutions provide a wealth of examples in order to tackle the weekly homework.

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What's inside

Four courses

Digital Signal Processing 1: Basic Concepts and Algorithms

(1 hours)

Digital Signal Processing is the branch of engineering that has enabled unprecedented levels of interpersonal communication and on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is at the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices.

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Digital Signal Processing 2: Filtering

(1 hours)

Digital Signal Processing, the branch of engineering that has enabled unprecedented levels of interpersonal communication and of on-demand entertainment, is at 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.

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Digital Signal Processing 3: Analog vs Digital

(1 hours)

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Digital Signal Processing 4: Applications

(1 hours)

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Learning objectives

Discover discrete-time signal and analyze them with the fourier transform.
Learn to manipulate signals with filters.

Move back and forth from the analog to the digital world.
Learn about digital data communication and real-time dsp.

Discover discrete-time signal and analyze them with the fourier transform.
Learn to manipulate signals with filters.
Move back and forth from the analog to the digital world.
Learn about digital data communication and real-time dsp.

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Time

320 hours

Level

Intermediate

Via

Coursera

Institution

École Polytechnique Fédérale de Lausanne2

Instructors

Paolo Prandoni

Martin Vetterli

Level

Intermediate

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