2016, Fall
EE251 Signal Detection and Parameter Estimation

School of Information Science and Technology
ShanghaiTech University

1. Lecturer:
Prof. Xiliang Luo (luoxl@shanghaitech.edu.cn)
Office: 413, Buiding 8, 100 Haike Rd
Office Hour: Tuesday, Thursday, 8:00am-10:00am

2. TA:
Shengda Jin (jinshd@shanghaitech.edu.cn)
Office: 4th Floor, Builidng 8, 100 Haike Rd
Office Hour: Tuesday, Thursday, 8:00am-10:00am

3. Piazza Discussion Forum:
https://piazza.com/class/isyla0s68imsv

4. Grading:
* Homework: 40%
* Midterm: 30% [8:00-10:00am, 10/28, one A4 cheat sheet allowed]
* Final Research Project: 30% [Due on 1/1/2017, each group contains at most 3 students and need to justify the load and demonstrate the work quality!]

5. Textbook:
Fundamentals of Statistical Signal Processing: Estimation Theory/Detection Theory, Steven M. Kay, Prentice Hall, 1993

6. Reference book:
Principles of Signal Detection and Parameter Estimation, Benard C. Levy, Springer, 2008
Detection, Estimation, and Modulation Theory, Part I, Harry L. Van Trees, John Wiley & Sons, Inc., 2001

7. Lecture notes etc.

Week

Lecture Note

HW/Solutions

Additonal Notes

9/12 Introduction, MVUE    
9/19 Cramer-Rao Lower Bound    
9/26 Neyman-Fisher Factorization, Rao-Blackwell-Lehmann-Scheffe Theorem    
10/3 BLUE, MLE    
10/10 MLE, Bayesian Estimator-I    
10/17 Bayesian Estimator-II Kalman Filter    
10/24 Mid-Term Exam    
10/31 Kalman Filter    
11/7 Introduction to Detetion    
11/14 ROC Properties, Minimax Test,    
11/21 Minimax Test, M-ary Hypothesis Testing    
11/28 Minimax Test, Asymptotic Performance of LRT    
12/5 Sequential Tests    
12/12 Karhunen-Loeve Decomposition    
12/19 Composite Hypothesis Testing    
12/26      
1/2