This course is part of the Digital Signal Processing Specialization

Paolo Prandoni +1 more instructor

Offered By

Digital Signal Processing SpecializationÉcole Polytechnique Fédérale de Lausanne

About this Course

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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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Earn a Certificate upon completion

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Course 4 of 4 in the

Digital Signal Processing Specialization

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 14 hours to complete

English

Subtitles: English

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

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 4 of 4 in the

Digital Signal Processing Specialization

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 14 hours to complete

English

Subtitles: English

Instructors

Paolo Prandoni

Lecturer

School of Computer and Communication Science

86,206 Learners

5 Courses

Martin Vetterli

Professor

School of Computer and Communication Sciences

86,206 Learners

5 Courses

Offered by

École Polytechnique Fédérale de Lausanne

Syllabus - What you will learn from this course

Week

Week 1

4 hours to complete

IMAGE PROCESSING

Image processing and the JPEG compression standard

4 hours to complete

8 videos (Total 95 min), 6 readings, 1 quiz

8 videos

4.1.1.a Notation and key concepts14m

4.1.1.b Image manipulations7m

4.1.2 Frequency analysis11m

4.1.3.a 2D Filters6m

4.1.3.b Classic Filters for Images12m

4.1.4.a Image compression14m

4.1.4.b The JPEG compression algorithm16m

Signal of the Day: Moire Patterns12m

6 readings

Welcome to DSP Four!10m

Introduction5m

Introduction3m

Introduction2m

Introduction5m

Practice Homework10m

1 practice exercise

Homework for Module 4.11h

Week

Week 2

8 hours to complete

DIGITAL COMMUNICATIONS AND ADSL

Digital communication systems: voiceband modems and ADSL

8 hours to complete

14 videos (Total 100 min), 10 readings, 1 quiz

14 videos

4.2.1.a The success factors for digital communications5m

4.2.1.b The analog channel constraints8m

4.2.1.c The design problem3m

4.2.2.a Upsampling7m

4.2.2.b Fitting the transmitter spectrum4m

4.2.2.c Noise and probability of error7m

4.2.2.d PAM and QAM11m

4.2.3.a Modulation and demodulation7m

4.2.3.b Design example5m

4.2.3.c Receiver design6m

4.2.3.d Delay compensation8m

4.2.3.e Adaptive equalization5m

4.2.4.a ADSL design8m

4.2.4.b Discrete multitone modulation9m

10 readings

Introduction2m

What have we learned?50m

Introduction3m

What have we learned?15m

Introduction5m

What have we learned?10m

Introduction2m

What have we learned?3m

Practice homework1h

Week 3

2 hours to complete

MODULE 4.3: REAL-TIME AUDIO SIGNAL PROCESSING

Real-time audio signal processing on a Nucleo microcontroller

2 hours to complete

4 videos (Total 15 min), 5 readings

4 videos

Breakout board assembly2m

Wiring up everything4m

Oscilloscope overview, analog mode3m

Oscilloscope overview, digital mode4m

5 readings

Introduction10m

The "Voice Transformer" Notebook2m

Prepare the breakout boards

Introduction10m

About the Digital Signal Processing Specialization

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. 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.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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Digital Signal Processing 4: Applications