Detection and Estimation, ELEG668 (Fall of 2021)
Instructor:
Dr. Xiang-Gen Xia
Office:
311 Evans Hall
Email/Phone:
xxia@ee.udel.edu, (302)831-8038
Time:
M. W. 5:00pm-6:15pm
Place:
Gore Hall, Room 218
Office Hours:
T: 4:00-5:00pm
Grading Policy:
- Homeworks: 30%
- Midterm Project: 30%
- Final Project: 40%
Textbook:
H. Vincent Poor,
An Introduction to Signal Detecion and Estimation,
2nd Ed., Springer,
New York, 1994.
References:
- S. M. Key, Fundamentals of Statistical Signal Processing: Detection Theory, Prentice-Hall, New Jersey, 1998.
- S. M. Key, Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice-Hall, New Jersey, 1993.
Course Description:
This course covers the fundamentals of detection and
estimation theory for statistical signal processing. The topics include
hypothesis testing theory, signal detection theory for both
deterministic and random signals, signal estimation theory with various
optimal estimators for both deterministic and random parameters, and
their properties and performance analysis.
Prerequisites: ELEG 305/306, ELEG 310 or equivalent courses
Course Contents:
- Introduction and Basics on Probability Distributions
- Elements of Hypothesis Testing
- Signal Detecion in Discrete Time
- Elements of Parameter Estimation
- Elements of Signal Estimation
- Lecture Notes 1
- Lecture Notes 1 Supplement
- Lecture Notes 2
- Lecture Notes 3
- Lecture Notes 4
- Lecture Notes 5
- Lecture Notes 6
- Lecture Notes 7
The Safety of Our Learning Environment:
Student learning can only occur when students and their
instructors feel safe, respected, and
supported by each other. To ensure that our learning
environment is as safe as possible, and in
keeping with CDC guidelines to slow the transmission of
COVID-19 and the University of Delaware's Return
to Campus Guidelines (Health and Safety Section), we
will adhere to the
practice of wearing face masks and cleaning your seat and
desk area at the beginning of class.
This means that you:
- Must wear a cloth mask that covers your nose and mouth.
- Must not eat or drink in class.
- Upon entering the classroom, wipe down your seat and desk area.
As necessary,
the University may announce modifications to these practices.
In that event,
these guidelines will be updated to reflect those modifications.