EEE 5502 DSP Summer 2015


Catalog Description: Prerequisite: Linear Systems and Introduction to Signal Processing or equivalent with permission of instructor.
Scope: Discrete linear systems, digital filtering, filter design, discrete Fourier transforms applications of filtering to signal separation, denoising and feature extraction; filter banks and wavelets. .
Text Book: Computer Based Exercises for Signal Processing Using MATLAB by Sidney Burrus, James McClellan, Alan Oppenheim, Thomas Parks, Ronald Schaffer and Hans Schuessler, Prentice Hall, 1998, ISBN: 0-13-789009-5
Reference Book: Discrete-Time Signal Processing by A. V. Oppenheim, R. W. Schafer. Prentice Hall.
Instructor: Dr. Nurgun Erdol, Professor
Department of Computer and Electrical Engineering and Computer Science
Telephone: 561-297-3409
To provide students with the fundamental theory and up-to-date information in digital signal processing. This course is based on fundamentals covered in the Analysis of Linear Systems (EEL 4656) and and should be followed with advanced level DSP courses.
In this course students are expected to code in MATLAB at a level where they can use programming to verify and demonstrate algorithms used in signal processing.
The course will analyze the algorithms given in the textbook Computer Based Exercises for Signal Processing Using MATLAB by Burrus et al. Theoretical background on the algorithms will be provided as course notes, lecture notes and references to Discrete Time Signal Processing by Oppenheim and Schafer. Students needing a refresher in DSP may consult sites such as
Studio Time: T R 04:45PM-07:55PM
Office Hours: F 4:30-5:30, by appointment, email and discussion board on blackboard.
To ensure that your messages are filtered properly and answered, please put EEE 5506 in the subject field when writing emails.
Linear Discrete-time systems: input / output relationships
The z-transform, the discrete time Fourier transform, sampling theorem
Filters and filtering, selective frequency operations.
Filter design techniques
Random signals and spectral estimation
Non-stationary signals, short-time Fourier transforms and spectrograms
Multirate systems
Linear prediction and all-pole modeling
Grading is based on 4 assignments and a final exam given in-class in the open-book format. The final exam will be based on the assignments and will test your understanding of the subjects at a theoretical level. Assignments are due at the end of the day on May 18, May 25, June 1 and June 8. The final exam will be on June 18, during lecture hours 4:45-7:55pm. Each assignment is worth 20 % and the final exam is worth 20%.

Web access: Course materials, homework assignments and announcements will be posted on Students may access the site by logging in according to the menu on the web site. You will need your SOCIAL SECURITY OR STUDENT NUMBER.