ECE 417 Multimedia Signal Processing, Fall 2023¶
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.
CampusWire will be used for on-line question answering. If you need the code to enter this site, send an e-mail to the course instructors.
Gradescope will be used to submit all homework and machine problems, and will be used to grade exams. The code to enter this site will be posted on CampusWire.
- Lectures can be watched online in two ways:
Synchronously, using the zoom link posted in CampusWire
Asynchronously on Media Space
Our logo this semester is an image of sound-on-film uploaded by Rotareneg.