Digital Signal Processing Specialization

Early bird sale! Unlock 10,000+ courses from Google, IBM, and more for 50% off. Save today.

Digital Signal Processing Specialization

Digital Signal Processing from theory to practice. Discover discrete-time signal and analyze them with the Fourier transform. Manipulate signals with filters. Move back and forth from the analog to the digital world and learn about digital data communication and real-time DSP.

Instructors: Martin Vetterli

22,517 already enrolled

Included with Coursera Plus

Learn more

4 course series

Get in-depth knowledge of a subject

4.6

(487 reviews)

Intermediate level

Recommended experience

2 months to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 course series

Get in-depth knowledge of a subject

4.6

(487 reviews)

Intermediate level

Recommended experience

2 months to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

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.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from École Polytechnique Fédérale de Lausanne

Specialization - 4 course series

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.

Applied Learning Project

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. This Specialization does not include a final project. You do not have to complete a final project in order to complete the Specialization.

Digital Signal Processing 1: Basic Concepts and Algorithms

Course 128 hours

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

Skills you'll gain

Category: Linear Algebra

Category: Telecommunications

Category: Applied Mathematics

Category: Mathematical Modeling

Category: Digital Communications

Category: Electronics

Category: Algorithms

Category: Programming Principles

Category: Engineering Analysis

Category: Electrical and Computer Engineering

Category: Computational Logic

Category: Advanced Mathematics

Category: Time Series Analysis and Forecasting

Digital Signal Processing 2: Filtering

Course 218 hours

What you'll learn

Digital filters, how they work
Digital filter design
Adaptive signal processing

Skills you'll gain

Category: Numerical Analysis

Category: Telecommunications

Category: Real Time Data

Category: Computer Engineering

Category: Engineering Analysis

Category: Electronic Systems

Category: Digital Communications

Category: Electrical Engineering

Category: Mathematical Modeling

Category: Linear Algebra

Category: Algorithms

Category: Engineering Calculations

Category: Applied Mathematics

Category: Data Mapping

Category: Electrical and Computer Engineering

Digital Signal Processing 3: Analog vs Digital

Course 315 hours

What you'll learn

The difference between continuous and discrete time
Sampling and interpolation
Quantization, A/D and D/A converters
Multirate signal processing

Skills you'll gain

Category: Electronics

Category: Linear Algebra

Category: Mathematical Modeling

Category: Electronics Engineering

Category: Telecommunications

Category: Applied Mathematics

Category: Numerical Analysis

Category: Quantitative Research

Category: Calculus

Category: Digital Communications

Category: Systems Of Measurement

Category: Engineering Analysis

Category: Electrical and Computer Engineering

Digital Signal Processing 4: Applications

Course 414 hours

What you'll learn

The basics of image processing
How digital communication systems work, including ADSL
How to program a microcontroller to implement real-time DSP algorithms

Skills you'll gain

Category: Digital Communications

Category: Image Analysis

Category: Telecommunications

Category: Electronic Systems

Category: Embedded Systems

Category: Engineering Analysis

Category: Debugging

Category: Computer Hardware

Category: Quantitative Research

Category: Electronics

Category: Algorithms

Category: Applied Mathematics

Category: Electrical and Computer Engineering

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Martin Vetterli

École Polytechnique Fédérale de Lausanne

5 Courses124,704 learners

Offered by

École Polytechnique Fédérale de Lausanne

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."

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

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

Explore degrees

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

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

You will need to complete to 4 courses of the Specialization.

The recommended background is college-level calculus and linear algebra.

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.