University of Michigan, Winter 2012
Instructor: Clayton Scott
Classroom: 1017 Dow
Time: TTh 9-10:30
Office: 4433 EECS
Office hours: Monday 1-3 or by appointment.
Textbook: None. I'll distribute my notes.
Supplemental references, on reserve at the library:
1) Fundamentals of Statistical Signal Processing, Volume 1: Estimation Theory, Steven Kay, 1993
2) Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory, Steven Kay, 1998
3) Statistical Signal Processing, Louis Scharf, 1991
4) An Introduction to Signal Detection and Estimation, Vincent Poor, 2nd ed., 1994
Topics to be covered: Theoretical aspects of estimation, filtering, and detection. Applications of the theory to Fourier and wavelet domain signal denoising, channel estimation, object tracking, binary communication, modulation, matched filtering, Rayleigh fading channels, and functional magnetic resonance imaging. Some applications will be developed in class, and others through the homeworks.
EECS 501 or equivalent, linear algebra, signals and systems, familiarity with MATLAB.
Cancelled lecture: Feb. 9
Make-up lecture: Monday Feb. 6, 5:30 -- 7:00 PM, EECS 1303.
Homeworks are due in the 564 slot in EECS 2420 by 5 pm on the assigned due date. All homework assignments are to be completed on your own. You are allowed to consult with other students in the current class regarding the conceptualization of the problem and possible methods of solution, but you may not share details, whether in the form of scrap work, final writeups, or computer code. All written and programming work is to be generated by you working alone. You are not allowed to possess, look at, use, or in anyway derive advantage from existing solutions that you may come across.
All undergraduate and graduate students are expected to abide by the College of Engineering Honor Code as stated in the Student Handbook and the Honor Code Pamphlet.
Students with Disabilities
Any student with a documented disability needing academic adjustments or accommodations is requested to speak with me during the first two weeks of class. All discussions will remain confidential.