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.
Digital Signal Processing 4: Applications
Digital Signal Processing 4: Applications
This course is part of Digital Signal Processing Specialization
Instructors: Paolo Prandoni
Sponsored by Coursera Learning Team
11,496 already enrolled
Gain insight into a topic and learn the fundamentals.
4.7
(79 reviews)
Intermediate level
Some related experience required
14 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
The basics of image processing
How digital communication systems work, including ADSL
How to program a microcontroller to implement real-time DSP algorithms
Details to know
Shareable certificate
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Assessments
2 assignments
Taught in English
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This course is part of the Digital Signal Processing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
Image processing and the JPEG compression standard
What's included
8 videos6 readings1 assignment1 ungraded lab1 plugin
Digital communication systems: voiceband modems and ADSL
What's included
14 videos10 readings1 assignment2 ungraded labs1 plugin
Real-time audio signal processing on a Nucleo microcontroller
What's included
4 videos5 readings1 ungraded lab1 plugin
Instructors
Instructor ratings
4.6 (14 ratings)Offered by
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4.7
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BE
5
Reviewed on Sep 9, 2021
This course was challenging but very well made. I learned a lot and was able to reinforce what I already knew before.
Recommended if you're interested in Physical Science and Engineering
Ludwig-Maximilians-Universität München (LMU)
Codio
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