Coursera

Digital Signal Processing 4: Applications (Coursera)

Offered by École Polytechnique Fédérale de Lausanne,

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.
Course 4 of 4 in the Digital Signal Processing Specialization.

What You Will Learn

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

Syllabus

WEEK 1
Image processing
Image processing and the JPEG compression standard

WEEK 2
Digital communications and ADSL
Digital communication systems: voiceband modems and ADSL

WEEK 3
Module 4.3: real-time audio signal processing
Real-time audio signal processing on a Nucleo microcontroller

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

École Polytechnique Fédérale de Lausanne

Digital Signal Processing 2: Filtering (Coursera)

Engineering

Oct 12th 2026

3 Weeks

Digital Signal Processing Filtering Digital Filter

Coursera

Johns Hopkins University

Introduction to Neurohacking In R (Coursera)

Statistics & Data Analysis Data Science

Neurohacking describes how to use the R programming language and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization.

Oct 5th 2026

4 Weeks

Brain Neurology R Language

Coursera

University of California, Irvine

Introduction to the Internet of Things and Embedded Systems (Coursera)

CS: Software Engineering

The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. In this first class in the specialization you will learn the importance of IoT in society, the current components of typical IoT devices and trends for the future. IoT design considerations, constraints and interfacing between the physical world and your device will also be covered. You will also learn how to make design trade-offs between hardware and software. We'll also cover key components of networking to ensure that students understand how to connect their device to the Internet.

Sep 28th 2026

4 Weeks

Hardware Internet Microcontrollers

Coursera

Pontificia Universidad Católica de Chile

Introducción a la Minería de Datos (Coursera)

CS: Information & Technology

En este curso, aprenderás de manera gradual y práctica los conceptos básicos de Minería de Datos, junto a los algoritmos más utilizados hoy en día. Al finalizar el curso, serás capaz de entender la importancia de manejar la información y de explorar por ti mismo distintas bases de datos reales. Este curso es el primer paso para convertirte en un/a profesional con habilidades básicas de un científico de datos o Data Scientist, de manera tal que puedas abrirle la puerta al futuro.

Oct 5th 2026

5-12 Weeks

Algorithms Clustering Data Management

Coursera

Edge Impulse

Introduction to Embedded Machine Learning (Coursera)

Data Science

Machine learning allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Thanks to this, running deep neural networks and other complex machine learning algorithms is possible on low-power devices like microcontrollers. This course will give you a broad overview of how machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers.

Oct 11th 2026

3 Weeks

Machine Learning Neural Networks Microcontrollers

Coursera

University of Colorado Boulder

Excel/VBA for Creative Problem Solving, Part 2 (Coursera)

CS: Theory CS: Programming

Excel/VBA for Creative Problem Solving, Part 2" builds off of knowledge and skills obtained in "Excel/VBA for Creative Problem Solving, Part 1" and is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA).

Oct 5th 2026

4 Weeks

Algorithms Spreadsheets Excel

Coursera

Princeton University

Computer Science: Algorithms, Theory, and Machines (Coursera)

Computer Science

This course introduces the broader discipline of computer science to people having basic familiarity with Java programming. It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018). Our intent is to demystify computation and to build awareness about the substantial intellectual underpinnings and rich history of the field of computer science.

Oct 5th 2026

5-12 Weeks

Programming Computing Algorithms

Coursera

Stanford University,The University of British Columbia

Game Theory II: Advanced Applications (Coursera)

Robotics & Computer Vision

Popularized by movies such as "A Beautiful Mind", game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Over four weeks of lectures, this advanced course considers how to design interactions between agents in order to achieve good social outcomes. Three main topics are covered: social choice theory (i.e., collective decision making and voting systems), mechanism design, and auctions.

Oct 5th 2026

5-12 Weeks

Game Economics Social Sciences

Coursera

Rice University

Algorithmic Thinking (Part 2) (Coursera)

CS: Theory

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Oct 5th 2026

4 Weeks

Python Computing Algorithms

Coursera

École normale supérieure

Statistical Mechanics: Algorithms and Computations (Coursera)

Statistics & Data Analysis Sci: Physics

In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach.

Sep 28th 2026

5-12 Weeks

Algorithms Classical Mechanics Monte Carlo Method

Coursera

Sungkyunkwan University - SKKU

The Fundamental of Data-Driven Investment (Coursera)

Statistics & Data Analysis Data Science

In this course, the instructor will discuss the fundamental analysis of investment using R programming. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to do the elemental analysis for investment management that you might need to do in your job every day. Additionally, the study note to do using Python programming will be provided.

Oct 5th 2026

4 Weeks

Python Algorithms R Programming

Coursera

Universidad Nacional Autónoma de México

Arduino y algunas aplicaciones (Coursera)

CS: Design & Product

Arduino es una iniciativa empleada para simplificar el uso de los microcontroladores, que surgió en 2005 como resultado de un proyecto de estudiantes en el Instituto IVREA. Nació con el objetivo de disminuir el costo de los microcontroladores, que entonces los estudiantes empleaban para sus proyectos y que resultaban demasiado costosos.

Oct 12th 2026

3 Weeks

Applications Arduino Coursera Plus