About this Course
4.7
345 ratings
86 reviews
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 31 hours to complete

Suggested: 8-10 hours/week...
Available languages

English

Subtitles: English

Skills you will gain

Signal ProcessingDiscrete Fourier TransformData TransmissionIpythonFourier AnalysisConvolutionLinear AlgebraDigital Signal Processing
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 31 hours to complete

Suggested: 8-10 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
7 hours to complete

Module 1: Basics of Digital Signal Processing

...
Reading
7 videos (Total 93 min), 7 readings, 1 quiz
Video7 videos
1.1.a Introduction to digital signal processing25m
1.2.a Discrete-time signals16m
1.3.a How your PC plays discrete-time sounds3m
1.3.b The Karplus-Strong algorithm19m
Signal of the Day: Goethe's temperature measurement8m
1.4.a Complex exponentials14m
Reading7 readings
Introduction to Module 15m
Introduction to Lecture 1.15m
Introduction to Lecture 1.25m
Introduction to Lecture 1.35m
Introduction to Lecture 1.45m
Notes and external resources15m
Practice homework for Module 1m
Quiz1 practice exercise
Homework for Module 145m
Week
2
Hours to complete
5 hours to complete

Module 2: Vector Spaces

...
Reading
6 videos (Total 63 min), 7 readings, 1 quiz
Video6 videos
Signal of the Day: Exoplanet hunting9m
2.2.a Vector space15m
2.2.b Signal spaces4m
2.3.a Bases13m
2.4.a Subspace-based approximations16m
Reading7 readings
Introduction to Module 25m
Introduction to Lecture 2.15m
Introduction to Lesson 2.25m
Introduction to Lecture 2.35m
Introduction to Lecture 2.45m
Notes and external resources15m
Practice homework for Module 2m
Quiz1 practice exercise
Homework for Module 230m
Week
3
Hours to complete
9 hours to complete

Module 3: Part 1 - Basics of Fourier Analysis

...
Reading
14 videos (Total 95 min), 11 readings, 1 quiz
Video14 videos
3.1.b The DFT as a change of basis10m
3.2.a DFT definition5m
3.2.b Examples of DFT calculation13m
3.2.c Interpreting a DFT plot4m
3.3.a DFT analysis11m
3.3.b DFT example - analysis of musical instruments4m
3.3.c DFT synthesis5m
3.3.d DFT example - tide prediction in Venice4m
3.3.e DFT example - MP3 compression4m
Signal of the Day: The first man-made signal from outer space5m
3.4.a The short-time Fourier transform5m
3.4.b The spectrogram7m
3.4.c Time-frequency tiling5m
Reading11 readings
Introduction to Module 310m
Introduction to Lesson 3.15m
Summary of Lesson 3.110m
Introduction to Lesson 3.25m
Summary of Lesson 3.210m
Introduction to Lesson 3.35m
Summary of Lesson 3.310m
Real-valued Transforms10m
Introduction to Lesson 3.45m
Summary of Lesson 3.410m
Practice homework for Module 3 Part 1m
Quiz1 practice exercise
Homework for Module 3 Part 1m
Week
4
Hours to complete
8 hours to complete

Module 3: Part 2 - Advanced Fourier Analysis

...
Reading
10 videos (Total 116 min), 7 readings, 1 quiz
Video10 videos
3.5.b Karplus-Strong revisited and DFS7m
3.6.a Karplus-Strong revisited and the DTFT13m
3.6.b Existence and properties of the DTFT7m
3.6.c The DTFT as a change of basis9m
3.7.a Sinusoidal modulation7m
3.7.b Tuning a guitar4m
Signal of the Day: Tristan Chord6m
3.8* Relationship between transforms14m
3.9* The fast Fourier transform42m
Reading7 readings
Introduction to Lesson 3.55m
Summary of Lesson 3.510m
Introduction to Lesson 3.65m
Summary of Lesson 3.610m
Introduction to Lesson 3.75m
Notes and external ressources15m
Practice homework for Module 3 Part 2m
Quiz1 practice exercise
Homework for Module 3 Part 2m
4.7
86 ReviewsChevron Right
Career direction

50%

started a new career after completing these courses
Career Benefit

83%

got a tangible career benefit from this course

Top Reviews

By 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!

By GCOct 2nd 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.

Instructors

Avatar

Paolo Prandoni

Lecturer
School of Computer and Communication Science
Avatar

Martin Vetterli

Professor
School of Computer and Communication Sciences

About École Polytechnique Fédérale de Lausanne

Frequently Asked Questions

  • 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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