Detection and Estimation Theory (EE 568)

2021 Fall
Faculty of Engineering and Natural Sciences
Electronics Engineering(EE)
3
10.00
Hüseyin Özkan -hozkan@sabanciuniv.edu,
English
Doctoral, Master
EE550
Lecture,
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CONTENT

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.

OBJECTIVE

The goal of this course is to introduce the students to the theory and techniques of modern estimation and detection theory together with time series analysis.