University of North Texas, College of Engineering
Department of Electrical Engineering
EENG 5620: Statistical Signal Processing
Spring 2012
Tuesday and Thursday,
1:30 - 2:50 PM
Classroom: B227
Instructor
- Dr.
X. Li, Office: NTRP B231,
Tel: (940) 891-6875, Email: Xinrong@UNT.EDU
Office Hours: Tuesday and Thursday, 3:00 PM - 4:00 PM
(additional appointments may be requested by email)
Textbook and
References
- Fundamentals
of Statistical Signal Processing, Vol. 1: Estimation Theory, 1993
(Required)
Author: Steven M. Kay, Publisher: Publisher: Prentice Hall
- Fundamentals
of Statistical Signal Processing, Vol. 2: Detection Theory, 1998
(Reference)
Author: Steven M. Kay, Publisher: Publisher: Prentice Hall
- Detection
and Estimation Theory and Its Applications, 2006 (Reference)
Author: Thomas A. Schonhoff, Arthur A. Giordano, Publisher: Pearson
Education, Inc.
Prerequisites
- EENG
3810 and MATH 5810 or equivalent
Course
Objectives
- Basic estimation theories of statistical signal
processing;
- Analysis and design of statistical signal processing
techniques and systems.
General
Policies
- Class attendance is mandatory. Lectures and class
discussions will contain vital information needed to do well on the exams.
- Everyone must turn in individual homework. Simply copying other's
homework will be treated as a violation of academic honesty.
- If
you arrive late, please enter quietly and sit down. Do not walk in front
of speakers or disrupt the class in any other way.
- Please
remember to turn off phones prior to class.
- Please
do not wait until the last minute. If you are having trouble with this
class, please come by my office during office hours. I am also available
by email.
- Please visit http://www.unt.edu/csrr for your rights
and responsibilities.
Disability
Accommodation
- The University of North Texas
(UNT) complies with Section 504 of the 1973 Rehabilitation Act and with
the Americans with Disabilities Act of 1990. UNT provides academic
adjustments and auxiliary aids to individuals with disabilities, as
defined under the law. Among other things, this legislation requires that
all students with disabilities be guaranteed a learning environment that
provides for reasonable accommodation of their disabilities. If you
believe you have a disability requiring accommodation, please see the
instructor and/or contact the Office of Disability Accommodation (http://www.unt.edu/oda) at 940-565-4323
during the first week of class. It is the responsibility of students with
certified disabilities to provide the instructor with appropriate
documentation from the Dean of Students Office.
Assignments
and Exams
- No late assignments will be
accepted and no emailed assignments will be accepted, except in
extenuating circumstances. Homework is due before the class in the
following week.
- There
will be one final exam and one final project. The exam will be based on
text readings, handouts, class exercises, class lectures and discussions,
and homework assignments. Students are responsible for all text material,
regardless of whether we review the text material in class or not. If you
know in advance that you will miss the exam, you must contact me before
the scheduled exam.
Grading
Policies
- Homework, 30%
- Project, 30%
- Exam, 40%
- There will be no extra credits.
- Final
accumulated number score is on a 100 point scale.
- Final
letter grade distribution: A=100-85, B=75-84, C=65-74, D=55-64, F=0-54
Course Outline
- Review of Probability,
Statistics, and Random Process
- Minimum Variance Unbiased (MVU)
Estimation
- Cramer-Rao Bound (CRB)
- Linear Models and Best
Linear Unbiased Estimators (BLUE)
- Maximum Likelihood (ML)
Estimation
- Least Squares (LS)
Estimation
- Bayesian Estimation
- Linear Bayesian Estimation
- Linear Minimum Mean Square Error Estimation
- Kalman Filters
- Final Project Presentation,
2:00 – 3:20 PM, May 1 & 3, 2012
- Final Exam, 1:30 – 3:30 PM,
Thursday, May 10, 2012
Useful Links
Last updated on 01/15/2012