Informações sobre o curso
4.7
292 ratings
73 reviews
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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Intermediate Level

Nível intermediário

Clock

Sugerido: 8-10 hours/week

Aprox. 32 horas restantes
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English

Legendas: English

Habilidades que você terá

Digital Signal ProcessingFourier AnalysisSignal ProcessingDiscrete Fourier Transform
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Intermediate Level

Nível intermediário

Clock

Sugerido: 8-10 hours/week

Aprox. 32 horas restantes
Comment Dots

English

Legendas: English

Programa - O que você aprenderá com este curso

1

Seção
Clock
7 horas para concluir

Module 1: Basics of Digital Signal Processing

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Reading
7 vídeos (Total de 93 min), 7 leituras, 1 teste
Video7 videos
1.1.a Introduction to digital signal processing25min
1.2.a Discrete-time signals16min
1.3.a How your PC plays discrete-time sounds3min
1.3.b The Karplus-Strong algorithm19min
Signal of the Day: Goethe's temperature measurement8min
1.4.a Complex exponentials14min
Reading7 leituras
Introduction to Module 15min
Introduction to Lecture 1.15min
Introduction to Lecture 1.25min
Introduction to Lecture 1.35min
Introduction to Lecture 1.45min
Notes and external resources15min
Practice homework for Module 1min
Quiz1 exercício prático
Homework for Module 145min

2

Seção
Clock
5 horas para concluir

Module 2: Vector Spaces

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Reading
6 vídeos (Total de 63 min), 7 leituras, 1 teste
Video6 videos
Signal of the Day: Exoplanet hunting9min
2.2.a Vector space15min
2.2.b Signal spaces4min
2.3.a Bases13min
2.4.a Subspace-based approximations16min
Reading7 leituras
Introduction to Module 25min
Introduction to Lecture 2.15min
Introduction to Lesson 2.25min
Introduction to Lecture 2.35min
Introduction to Lecture 2.45min
Notes and external resources15min
Practice homework for Module 2min
Quiz1 exercício prático
Homework for Module 230min

3

Seção
Clock
9 horas para concluir

Module 3: Part 1 - Basics of Fourier Analysis

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Reading
14 vídeos (Total de 95 min), 11 leituras, 1 teste
Video14 videos
3.1.b The DFT as a change of basis10min
3.2.a DFT definition5min
3.2.b Examples of DFT calculation13min
3.2.c Interpreting a DFT plot4min
3.3.a DFT analysis11min
3.3.b DFT example - analysis of musical instruments4min
3.3.c DFT synthesis5min
3.3.d DFT example - tide prediction in Venice4min
3.3.e DFT example - MP3 compression4min
Signal of the Day: The first man-made signal from outer space5min
3.4.a The short-time Fourier transform5min
3.4.b The spectrogram7min
3.4.c Time-frequency tiling5min
Reading11 leituras
Introduction to Module 310min
Introduction to Lesson 3.15min
Summary of Lesson 3.110min
Introduction to Lesson 3.25min
Summary of Lesson 3.210min
Introduction to Lesson 3.35min
Summary of Lesson 3.310min
Real-valued Transforms10min
Introduction to Lesson 3.45min
Summary of Lesson 3.410min
Practice homework for Module 3 Part 1min
Quiz1 exercício prático
Homework for Module 3 Part 1min

4

Seção
Clock
8 horas para concluir

Module 3: Part 2 - Advanced Fourier Analysis

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Reading
10 vídeos (Total de 116 min), 7 leituras, 1 teste
Video10 videos
3.5.b Karplus-Strong revisited and DFS7min
3.6.a Karplus-Strong revisited and the DTFT13min
3.6.b Existence and properties of the DTFT7min
3.6.c The DTFT as a change of basis9min
3.7.a Sinusoidal modulation7min
3.7.b Tuning a guitar4min
Signal of the Day: Tristan Chord6min
3.8* Relationship between transforms14min
3.9* The fast Fourier transform42min
Reading7 leituras
Introduction to Lesson 3.55min
Summary of Lesson 3.510min
Introduction to Lesson 3.65min
Summary of Lesson 3.610min
Introduction to Lesson 3.75min
Notes and external ressources15min
Practice homework for Module 3 Part 2min
Quiz1 exercício prático
Homework for Module 3 Part 2min
4.7
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Melhores avaliações

por JAJul 2nd 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 BBDec 3rd 2017

Excellent course with lots of interesting real world applications as examples. The course moves quite fast though, and assumes students have some basic knowledge of signals and systems.

Instrutores

Paolo Prandoni

Lecturer
School of Computer and Communication Science

Martin Vetterli

Professor
School of Computer and Communication Sciences

Sobre École Polytechnique Fédérale de Lausanne

Perguntas Frequentes – FAQ

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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