Back to Digital Signal Processing 2: Filtering
Learner Reviews & Feedback for Digital Signal Processing 2: Filtering by École Polytechnique Fédérale de Lausanne
182 ratings
About the Course
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.
Top reviews
BL
Aug 30, 2020
Excellent continuation to EPFL's DSP series. Be aware that the 3rd week requires a good foundation in statistics.
SM
Oct 7, 2020
Best material on Signal Processing. Instructors emphasized on concepts. This course is enjoyable
Filter by:
26 - 29 of 29 Reviews for Digital Signal Processing 2: Filtering
By SINGAM R N M
•Nov 3, 2020
good
By Javier D C
•Sep 8, 2020
Interesting topic covered in a friendly way description!
By KINGSLEY K J
•Sep 29, 2020
Not very Explanatory
By victor g
•Jun 28, 2024
Very good course. Examples on python are long to understand