LECTURE NOTES
HOMEWORK
COURSE INFORMATION
OBJECTIVE
The goal of advanced digital signal processing course is to provide a
comprehensive coverage of signal processing methods and tools,
including leading algorithms for various applications.
INSTRUCTOR
Prof. Yucel Altunbasak
Office: GCATT-370
Phone: 404 385 1341
E-mail: yucel@ece.gatech.edu
Office hours: MW (10:05-10:55) in BH-308
TIME & LOCATION
MWF, 9:05-9:55AM
Instr. Center 215
TEXTBOOK
Required Text: Mathematical Methods and Algorithms for Signal
Processing, Todd K. Moon and Wynn C. Stirling
Text-2: Fundamentals of Statistical Signal Processing: Volume I
& II, Steven Kay
Text-3: Wavelets and Subband Coding, Martin Vetterli and Jelena
Kovacevic
Text-4: Discrete-time Signal Processing, Alan V. Oppenheim,
Ronald W. Schafer
HONOR CODE
Please uphold the academic honor code (see
http://www.gatech.edu/honor/). Violations will be reported to the
office of Vice-President for Student Services
GRADING
|
Track #1 |
Track #2 |
|
| Midterms | 40 | 60 |
| Finals | 30 | 30 |
| Homework | 20 | 0 |
| Pop-Quiz | 10 | 10 |
| Instructor | 10 | 10 |
After the first homework, you need to declare which of the two tracks
you will be taking.
HOMEWORK
There will be (approximately) bi-weekly homework assignments. Selected
homework (questions) will be graded.
POP QUIZZES
We will have pop-quizzes time to time. They will not be announced
beforehand, and they may also be given at the beginning of the lectures.
EXPECTATIONS
You should be familiar with introductory probability and linear algebra
concepts. You are expected to have taken courses on linear algebra,
probability, random processes, and signal processing.
TENTATIVE OUTLINE
