ECE 5650

Last Updated

  • Schedule of Classes - January 14, 2015 6:16PM EST
  • Course Catalog - January 14, 2015 6:21PM EST

ECE 5650
Statistical Signal Processing and Learning

Course information provided by the 2014-2015 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 Fall.

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Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Graded

  • 16289 ECE 5650   LEC 001

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  • Instruction Mode:

  • 16290 ECE 5650   DIS 201

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  • Instruction Mode: