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Course Catalog

EE 568 Detection and Estimation Theory 3 Credits
Principle of estimation, detection and time series analysis. Estimation: Linear and nonlinear minimum mean squared error ,estimation and other strategies. Detection: simple, composite, binary and multiple hypotheses, Neyman-Pearson and Bayesian approaches. Time series analysis: Wiener, Kalman filtering , prediction and modal Analysis.
Last Offered Terms Course Name SU Credit
Fall 2021-2022 Detection and Estimation Theory 3
Fall 2020-2021 Detection and Estimation Theory 3
Fall 2019-2020 Detection and Estimation Theory 3
Spring 2015-2016 Detection and Estimation Theory 3
Spring 2014-2015 Detection and Estimation Theory 3
Spring 2012-2013 Detection and Estimation Theory 3
Spring 2011-2012 Detection and Estimation Theory 3
Spring 2010-2011 Detection and Estimation Theory 3
Spring 2009-2010 Detection and Estimation Theory 3
Spring 2008-2009 Detection and Estimation Theory 3
Spring 2007-2008 Detection and Estimation Theory 3
Spring 2006-2007 Detection and Estimation Theory 3
Fall 2005-2006 Detection and Estimation Theory 3
Spring 2003-2004 Detection and Estimation Theory 3
Prerequisite: EE 550 - Masters - Min Grade D
and EE 550 - Doctorate - Min Grade D
Corequisite: __
ECTS Credit: 10 ECTS (10 ECTS for students admitted before 2013-14 Academic Year)
General Requirements: