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01/31 - 05/20 | ||||||
M | T | W | Th | F | Sa | Su |
5:45 pm |
Subject: Engr Tech Leadrshp (Grad) (ETLS)
CRN: 29095
In Person | Lecture
St Paul: O'Shaughnessy Science Hall 326
This course discusses topics on the fundamentals of continuous and discrete-time signals, sampling, time-frequency analysis, filters, Machine Learning and Neural Network. Applications include speech, audio, image, video and biomedical signal processing, signal compression, and multi-dimensional sensor data analysis. Prior experience with MATLAB/Python is highly recommended.
3 Credits