Here is a selection of DSP and ML related videos presented by John Edwards
2022 - Building A Tensorflow Lite Neural Network Vibration Classifier, With A Little Help From DSP
2021 - An Introduction To High Efficiency And Multi-rate Digital Filters
2020 - Frequency Domain Signal Processing
TinyML Foundation / Edge AI Foundation
SigLib DSP Library Introduction
SigLib Vibration Monitoring Machine Learning Demonstration
The course first moved online in 2020 and has received excellent reviews from the attendees
The course will run from Wednesday 22 Oct 2025 to Wednesday 26 Nov 2025, with live online classes one afternoon per week.
Based on the classroom course, Digital Signal Processing (Theory and Application), this online course consists of weekly live online tutorials and also includes a software lab that can be run remotely. We'll include all the same material, many of the existing labs and all the interaction of the regular course.
Online tutorials are delivered via Microsoft Teams once each week and practical exercises are set to allow you to practice the theory during the week.
You will also have access to the course VLE (virtual learning environment) to communicate with other students, view and download course materials and tutor support is available throughout.
Code examples will be provided although no specific coding experience is required.
The live tutorials will be on Wednesday each week from 13:00 - 14:30 and 15:00 - 16:30 (GMT) with a 30-minute break in between.
You should allow for 10 - 15 hours study time per week in addition to the weekly lessons and tutorials.
After completing the course, you should be able to understand the workings of the algorithms we explore in the course and how they can solve specific signal processing problems.
Full details are available here: https://www.conted.ox.ac.uk/courses/digital-signal-processing-online.
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