ECE 417
Spring 2010 All Classes
All Classes
Credit: 4 hours.
Basic 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 which provide hands-on experience.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
48228
|
Lecture
|
A
|
9:30AM
-10:50AM
|
TR
|
241 Everitt Laboratory
|
Huang, T
|
|