École Polytechnique Fédérale de Lausanne
Digital Signal Processing 1: Basic Concepts and Algorithms
École Polytechnique Fédérale de Lausanne

Digital Signal Processing 1: Basic Concepts and Algorithms

This course is part of Digital Signal Processing Specialization

Taught in English

Some content may not be translated

Paolo Prandoni
Martin Vetterli

Instructors: Paolo Prandoni

47,862 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.5

(566 reviews)

|

95%

Intermediate level
Some related experience required
28 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • The nature of discrete-time signals

  • Discrete-time signals are vectors in a vector space

  • Discrete-time signals can be analyzed in the frequency domain via the Fourier transform

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.5

(566 reviews)

|

95%

Intermediate level
Some related experience required
28 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the Digital Signal Processing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 4 modules in this course

Introduction to the notation and basics of Digital Signal Processing

What's included

6 videos7 readings1 quiz2 ungraded labs1 plugin

Modeling signals as vectors in an appropriate vector space. Using linear algebra to express signal manipulations.

What's included

7 videos6 readings1 quiz1 ungraded lab1 plugin

The fundamental concepts behind the Fourier transform and the frequency domain

What's included

14 videos10 readings1 quiz3 ungraded labs1 plugin

Delving deeper in the world of Fourier analysis.

What's included

11 videos9 readings1 quiz2 ungraded labs1 plugin

Instructors

Instructor ratings
4.7 (201 ratings)
Paolo Prandoni
École Polytechnique Fédérale de Lausanne
5 Courses116,655 learners

Recommended if you're interested in Electrical Engineering

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 566

4.5

566 reviews

  • 5 stars

    69.43%

  • 4 stars

    20.14%

  • 3 stars

    5.65%

  • 2 stars

    1.76%

  • 1 star

    3%

MF
5

Reviewed on Nov 3, 2020

SE
5

Reviewed on Oct 15, 2021

JA
5

Reviewed on Jul 21, 2020

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions