ECE 417
Fall 2018 All Classes
All Classes
Credit: 4 hours.
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 MATLAB machine problems providing hands-on experience.
4 undergraduate hours. 4 graduate hours. Prerequisite: ECE 310 and ECE 313.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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68112
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Lecture
|
A
|
9:30AM
-10:50AM
|
TR
|
1015 Electrical & Computer Eng Bldg
|
Hasegawa-Johnson, M
|
|