ECE 417
spring 2016
All Classes
Multimedia Signal Processing
| Course | Section | CRN | Date | Day | Start Time | End Time | Room | Exam Type |
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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.
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| Detail | Status | CRN | Type | Section | Time | Day | Location | Instructor |
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