Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
Description: TOPICS IN SIGNAL PROCESSING
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Foundations of inference and learning theory in signal and image processing including graphical models, manifold learning, supervised and unsupervised learning.
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Prerequisite(s): ELEC 531 and ELEC 533.
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Instructor(s): Baraniuk Repeatable for Credit.