ECE 417 Multimedia Signal Processing, Fall 2021¶
Characteristics of speech and image signals; important analysis and synthesis tools for multimedia signal processing including subspace methods, Bayesian networks, hidden Markov models, and factor graphs; applications to biometrics (person identification), human-computer interaction (face and gesture recognition and synthesis), and audio-visual databases (indexing and retrieval). Emphasis on a set of python machine problems providing hands-on experience.
4 undergraduate hours. 4 graduate hours. Prerequisites: (1) a course in digital signal processing, such as ECE 310 or ECE 401, and (2) a course in random variables, such as ECE 313 or CS 361 or STAT 400.
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