Digital Signal Processing 3 Analog vs Digital
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.
The difference between continuous and discrete time
Sampling and interpolation
Quantization, A/D and D/A converters
Multirate signal processing
Syllabus
Syllabus - What you will learn from this course
Week 1
Module 3.1: Interpolation and Sampling
From continuous time to discrete time and vice versa.
Week 2
Module 3.2: Aliasing
What happens when we sample continuous-time signals and problems we should anticipate.
Week 3
Module 3.3: Multirate Signal Processing
How to change the sampling rate entirely from the discrete-time domain.
Week 4
Module 3:4: A/D and D/A Conversion
Going from analog to digital, and vice-versa.
FAQ
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.
Reviews
Excellent continuation to EPFL's DSP series. Mathematically rigorous but highly applicable.
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.
