Suggested preparation: Signals and systems, complex numbers and calculus.
About this course
Explore digital signal processing through MIT's lecture sequence. The course develops mathematical ways to represent, transform and analyze discrete signals and the systems that process them.
Course at a glance
| Provider | MIT |
|---|---|
| Platform | YouTube · MIT OpenCourseWare |
| Access | Free Video |
| Level | Intermediate — WikiFree study-level assessment |
| Language | English |
| Available lessons | 22 |
| Video duration | 15h 20m · self-paced |
| Details checked | 10 October 2026 |
Preparation and study approach
Suggested preparation: Signals and systems, complex numbers and calculus.
Follow the available videos in sequence, pausing to summarize the main argument or reconstruct a worked example. Keep a short list of assumptions, unfamiliar terms and questions to revisit. Additional reading, problem solving and practice will take time beyond the listed video duration.
Using this video classroom
Select a lesson from the list, or search for a topic. Previous and Next move through the sequence. You can mark lessons complete; progress is stored in this browser without a WikiFree account.
Free access and course scope
The public MIT OpenCourseWare videos in this classroom are free to watch. This listing provides the available playlist recordings, which may include selected lectures, recitations, demonstrations or supporting discussions rather than every component of the original campus course. Textbooks, equipment, software licenses, supervised labs, graded assignments and instructor feedback are not supplied by WikiFree. No purchase is required to watch the videos or use the note-based study approach above.
WikiFree independently organizes these resources for self-paced study. Watching does not award an MIT certificate, academic credit or admission to MIT.
Video provider and credit: MIT OpenCourseWare on YouTube. WikiFree titles, descriptions and cover artwork are independently prepared.
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Professional
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free MIT Course: Digital Signal Processing | Intermediate | MIT Course: Digital Signal Processing | 15h 20m of video; practice time is additional |
| Free MIT Course: Signals and Systems | Intermediate | 1. Signals and Systems · 7. Discrete Approximation of Continuous-Time Systems · 13. Continuous-Time (CT) Feedback and Control, Part 2 | 20h 23m of video; practice time is additional |
| Free MIT Course: Digital Communications I: Information and Coding | Intermediate | MIT Course: Digital Communications I: Information and Coding | 30h 27m of video; practice time is additional |
| Free MIT Course: Digital Communications II: Advanced Coding and Detection | Professional | MIT Course: Digital Communications II: Advanced Coding and Detection | 33h 56m of video; practice time is additional |
Provider: MIT. Videos play from the MIT OpenCourseWare channel on YouTube.
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