ECE 417 Multimedia Signal Processing, Fall 2023
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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
<https://courses.illinois.edu/schedule/2021/fall/ECE/310>`_ or `ECE
401 <https://courses.illinois.edu/schedule/2021/fall/ECE/401>`_,
and (2) a course in random variables, such as `ECE 313
<https://courses.illinois.edu/schedule/2021/fall/ECE/313>`_ or `CS 361
<https://courses.illinois.edu/schedule/2021/fall/CS/361>`_ or `STAT
400 <https://courses.illinois.edu/schedule/2021/fall/STAT/400>`_.

.. toctree::
   :maxdepth: 1
   :caption: Contents:

   lectures
   officehours
   hw
   mp
   exams
   grades

On-line Tools
-------------
   
* `CampusWire <https://campuswire.com/c/G4B80E16A/feed>`_ 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 <https://www.gradescope.com/courses/560497>`_ 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.

* Our logo this semester is an `image of sound-on-film uploaded by
  Rotareneg
  <https://commons.wikimedia.org/wiki/File:35mm_film_audio_macro.jpg>`_.