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EE 568 Detection and Estimation Theory Select Term:
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.
SU Credits : 3
ECTS Credit : 10
Prerequisite : Masters Level EE 550 Minimum Grade of D AND Doctorate EE 550 Minimum Grade of D
Corequisite : -