ECE 5650

Last Updated

  • Schedule of Classes - October 16, 2017 11:09AM EDT
  • Course Catalog - June 14, 2017 7:15PM EDT

ECE 5650
Statistical Signal Processing and Learning

Course information provided by the 2016-2017 Catalog.

This course introduces fundamental theories and practical ideas in statistical signal processing and learning. Specific topics include Bayesian inference, Wiener and Kalman filters, predictions, graphical models, point estimation theory, maximum likelihood methods, moment methods, Cram´er-Rao bound, least squares and recursive least squares, supervised and unsupervised learning techniques.


Prerequisites/Corequisites Prerequisite: ECE 3100 or ECE 3250.

When Offered Spring.

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Syllabi: none

  •   Regular Academic Session. 

  • 4 Credits Graded

  • 17366 ECE 5650   LEC 001

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  • Instruction Mode: In Person