This course is part of the Digital Signal Processing Specialization

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stars
55 ratings

Paolo Prandoni +1 more instructor

8,667 already enrolled

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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Coursera Labs

Includes hands on learning projects.

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Course 4 of 4 in the

Digital Signal Processing Specialization

Intermediate Level

Approx. 14 hours to complete

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

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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 4 of 4 in the

Digital Signal Processing Specialization

Intermediate Level

Approx. 14 hours to complete

English

Instructors

Instructor rating

4.58/5 (12 Ratings)

Paolo Prandoni

Lecturer

School of Computer and Communication Science

107,070 Learners

5 Courses

Martin Vetterli

Professor

School of Computer and Communication Sciences

107,070 Learners

5 Courses

Offered by

École Polytechnique Fédérale de Lausanne

Syllabus - What you will learn from this course

Week1

Week 1

4 hours to complete

IMAGE PROCESSING

4 hours to complete

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

8 videos

4.1.1.a Notation and key concepts14m4.1.1.b Image manipulations7m4.1.2 Frequency analysis11m4.1.3.a 2D Filters6m4.1.3.b Classic Filters for Images12m4.1.4.a Image compression14m4.1.4.b The JPEG compression algorithm16mSignal of the Day: Moire Patterns12m

6 readings

Welcome to DSP Four!10mIntroduction5mIntroduction3mIntroduction2mIntroduction5mPractice Homework10m

1 practice exercise

Homework for Module 4.11h

Week2

Week 2

8 hours to complete

DIGITAL COMMUNICATIONS 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 communications5m4.2.1.b The analog channel constraints8m4.2.1.c The design problem3m4.2.2.a Upsampling7m4.2.2.b Fitting the transmitter spectrum4m4.2.2.c Noise and probability of error7m4.2.2.d PAM and QAM11m4.2.3.a Modulation and demodulation7m4.2.3.b Design example5m4.2.3.c Receiver design6m4.2.3.d Delay compensation8m4.2.3.e Adaptive equalization5m4.2.4.a ADSL design8m4.2.4.b Discrete multitone modulation9m

10 readings

Introduction2mWhat have we learned?50mIntroduction3mWhat have we learned?15mIntroduction5mWhat have we learned?10mIntroduction2mWhat have we learned?3mPractice homework1hFurther reading15m

1 practice exercise

Homework for Module 4.21h

Week3

Week 3

2 hours to complete

MODULE 4.3: REAL-TIME AUDIO SIGNAL PROCESSING

2 hours to complete

4 videos (Total 15 min), 5 readings

Reviews

4.7

6 reviews

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3 stars
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1 star
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TOP REVIEWS FROM DIGITAL SIGNAL PROCESSING 4: APPLICATIONS

by BESep 8, 2021

This course was challenging but very well made. I learned a lot and was able to reinforce what I already knew before.

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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. 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 4: Applications

About this Course

What you will learn