This course is part of the Digital Signal Processing Specialization

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stars
67 ratings

Paolo Prandoni +1 more instructor

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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.

Flexible deadlines

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Shareable Certificate

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Course 3 of 4 in the

Digital Signal Processing Specialization

Intermediate Level

Approx. 15 hours to complete

English

What you will learn

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

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 3 of 4 in the

Digital Signal Processing Specialization

Intermediate Level

Approx. 15 hours to complete

English

Instructors

Instructor rating

4.42/5 (14 Ratings)

Paolo Prandoni

Lecturer

School of Computer and Communication Science

107,235 Learners

5 Courses

Martin Vetterli

Professor

School of Computer and Communication Sciences

107,235 Learners

5 Courses

Offered by

École Polytechnique Fédérale de Lausanne

Syllabus - What you will learn from this course

Week1

Week 1

6 hours to complete

Module 3.1: Interpolation and Sampling

6 hours to complete

10 videos (Total 65 min), 9 readings, 1 quiz

10 videos

3.1.1.a The continuous-time paradigm7m3.1.1.b Continuous-time signal processing7m3.1.1.c Bandlimited functions2m3.1.2.a Polynomial interpolation10m3.1.2.b Local interpolation6m3.2.1.c Sinc interpolation4m3.1.3.a The spectrum of interpolated signals5m3.1.3.b The space of bandlimited functions6m3.1.3.c The sampling theorem6mSignal of the Day: Fukushima7m

9 readings

Welcome to DSP Three!5mIntroduction2mWhat have we learned?5mIntroduction1mWhat have we learned?10mIntroduction2mWhat have we learned?5mPractice homework1hFurther reading4m

1 practice exercise

Homework for Module 3.12h

Week2

Week 2

3 hours to complete

Module 3.2: Aliasing

3 hours to complete

5 videos (Total 42 min), 4 readings, 1 quiz

Week3

Week 3

3 hours to complete

Module 3.3: Multirate Signal Processing

3 hours to complete

3 videos (Total 32 min), 3 readings, 1 quiz

Week4

Week 4

4 hours to complete

Module 3:4: A/D and D/A Conversion

4 hours to complete

8 videos (Total 75 min), 6 readings, 1 quiz

8 videos

3.4.1.a Quantization9m3.4.1.b Clipping, saturation and companding2m3.4.2 Analog-to-digital and digital-to-analog converters10m3.4.3.a Practical sampling and interpolation11m3.4.3.b Oversampled D/A10m3.4.3.c Oversampled A/D5mMP3 Compression19mSignal of the Day: Lehman Brothers6m

6 readings

Introduction3mWhat have we learned?3mIntroduction3mIntroduction3mWhat have we learned?5mPractice homework for Module 3.41h

1 practice exercise

Homework for Module 3.430m

Reviews

4.8

6 reviews

5 stars
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4 stars
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TOP REVIEWS FROM DIGITAL SIGNAL PROCESSING 3: ANALOG VS DIGITAL

by MTJul 6, 2020

Great course with nice examples. However I got stuck on week 3 quiz for a long time which was a little tricky, but otherwise the tests were also good and they checked the concepts well.

by MHOct 19, 2022

Excellent course this course is use for Analog to Digital

by BLJan 28, 2022

Excellent continuation to EPFL's DSP series. Mathematically rigorous but highly applicable.

View all reviews

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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
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. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Digital Signal Processing 3: Analog vs Digital

About this Course

What you will learn