EE 524
Digital Signal Processing
Fall 2009
MWF 10-10:50, 1011 Coover
- Instructor: Aleksandar Dogandzic
- Room: 3119 Coover
- E-mail:
- Office hours: W F 2-3.
- Prerequisites: EE 322, EE 424 (which
includes the knowledge of Matlab), and
knowledge of linear algebra, or consent of the instructor.
- Textbook:
A.V. Oppenheim and
R.W. Schafer (O & S), Discrete-time
Signal Processing, 3rd ed., Prentice-Hall, 2009.
- Reference books:
-
T. Kailath, A.H. Sayed, and B. Hassibi (K & S & H),
Linear Estmation,
Prentice-Hall, 2000.
- M.H. Hayes, Statistical Digital Signal
Processing and Modeling, Wiley, 1996.
- Grading: (tentative)
- 30% Homework assignments,
- 40% Midterm examinations,
- 30% Final examination.
- Outline (tentative):
- A review of undergraduate material:
discrete-time signals and systems, Fourier and z-transforms,
sampling and reconstruction of signals,
- Linear transforms and
wavelets,
-
Sampling sparse signals,
- Multirate digital signal processing,
- Random signals and matrix algebra for signal description,
- Optimal linear filtering and prediction,
- Introduction to adaptive filtering.
Handouts:
Lecture handout
Sparse sampling of signal innovations: Theory, algorithms, and performance bounds, by Blu et al
Multirate signal processing modules in Connexions
Multirate digital filters,
filter banks, polyphase networks, and applications: A tutorial, by P.P. Vaidyanathan
Wavelets, approximation, and compression, by M. Vetterli
Review of Linear Algebra
Homework assignments:
HW
HW
Announcements:
Midterm Exam II: Wednesday, November 4, 2009, in Coover 3138.