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.
Offered By
Digital Signal Processing 1: Basic Concepts and Algorithms
École Polytechnique Fédérale de LausanneAbout this Course
116,814 recent views
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 29 hours to complete
English
Subtitles: English
What you will 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
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 29 hours to complete
English
Subtitles: English
Syllabus - What you will learn from this course
7 hours to complete
Module 1.1: Digital Signal Processing: the Basics
Introduction to the notation and basics of Digital Signal Processing
7 hours to complete
6 videos (Total 88 min), 7 readings, 1 quiz
6 videos
1.1.2 Discrete-time signals16m
1.1.3.a How your PC plays discrete-time sounds3m
1.1.3.b The Karplus-Strong algorithm19m
1.1.4 Complex exponentials14m
Signal of the Day: Goethe's temperature measurement8m
7 readings
Welcome to DSP One!5m
Introduction5m
Introduction2m
Introduction5m
Introduction5m
Practice homework1h
Notes and Supplementary Material15m
1 practice exercise
Homework for Module 1.11h 45m
5 hours to complete
Module 1.2: Signal Processing Meets Vector Space
Modeling signals as vectors in an appropriate vector space. Using linear algebra to express signal manipulations.
5 hours to complete
7 videos (Total 63 min), 6 readings, 1 quiz
7 videos
1.2.2.a Vector space15m
1.2.2.b Signal spaces4m
1.2.3 Bases13m
1.2.4.a Subspace-based approximations4m
1.2.4.b Polynomial Approximation11m
Signal of the Day: Exoplanet hunting9m
6 readings
Introduction1m
Introduction1m
Introduction1m
Introduction1m
Practice homework1h
Notes and Supplementary Material15m
1 practice exercise
Homework for Module 1.21h 30m
9 hours to complete
Module 1.3: Fourier Analysis: the Basics
The fundamental concepts behind the Fourier transform and the frequency domain
9 hours to complete
14 videos (Total 94 min), 10 readings, 1 quiz
14 videos
1.3.1.b The DFT as a change of basis10m
1.3.2.a DFT definition5m
1.3.2.b Examples of DFT calculation13m
1.3.2.c Interpreting a DFT plot4m
1.3.3.a DFT analysis11m
1.3.3.b DFT example - analysis of musical instruments4m
1.3.3.c DFT synthesis5m
1.3.3.d DFT example - tide prediction in Venice4m
1.3.3.e DFT example - MP3 compression4m
1.3.4.a The short-time Fourier transform5m
1.3.4.b The spectrogram7m
1.3.4.c Time-frequency tiling5m
Signal of the Day: The first man-made signal from outer space5m
10 readings
Introduction6m
What have we learned?5m
Introduction1m
What have we learned?5m
Introduction1m
What have we learned?5m
Introduction1m
What have we learned?5m
Practice homework1h
Real-valued Transforms20m
1 practice exercise
Homework for Module 1.32h
8 hours to complete
Module 1.4: Fourier Analysis: More Advanced Tools
Delving deeper in the world of Fourier analysis.
8 hours to complete
11 videos (Total 121 min), 9 readings, 1 quiz
11 videos
1.4.1.b Karplus-Strong revisited and DFS7m
1.4.2.a Karplus-Strong revisited and the DTFT13m
1.4.2.b Existence and properties of the DTFT7m
1.4.2.c The DTFT as a change of basis10m
1.4.3.a Sinusoidal modulation7m
1.4.3.b Tuning a guitar4m
1.4.4.a Relationships between transforms11m
1.4.4.b Zero padding5m
1.4.5 The fast Fourier transform42m
Signal of the Day: Tristan Chord6m
9 readings
Introduction1m
What have we learned?2m
Introduction1m
What have we learned?10m
Introduction5m
Introduction1m
Introduction2m
Practice homework1h
Notes and Supplementary Material15m
1 practice exercise
Homework for Module 1.42h
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, 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.
What is the refund policy?
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
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. 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.
More questions? Visit the Learner Help Center.
