ES422: Signal Processing and Machine Learning for IoT

Fall 2020

Proposed topics to be covered are similar to the Fall 2018 version initially. After the preliminary topics are covered, the course will focus on machine learning and IoT applications.

Fall 2018

Topics covered:

In this course, we cover the following topics, based on student interest. Not all topics may be covered.

• Review of signal processing and linear systems
• Visualization of signals
• Fourier Analysis
• Filtering and noise removal
• Digital and Mobile Communications
• Machine Learning
• Special topics (time permitting): Adaptive Signal Processing, Localization, Image Processing, Detection and Estimation theory

Class Projects:

Signal Reconstruction using the Fourier Series

Signal Analysis/Synthesis using the DFT

Audio QPSK

Final projects (student selected projects):

Real-Time Tracking of Hockey Players with Amateur Videography

Videoframe-Based Image Processing Approach to Food Burning Detection

Machine Learning

The machine learning content covered in this class was covered in a paper presented at the 2019 ASEE/IEEE Frontiers in Education Conference (Cincinnati,OH, October 2019).