EEL 6502 - Digital Signal Processing I

Topics to be covered:

• Linear System Theory - Discrete Time Signals and Systems (Ch. 2)
• The Z-Transform (Ch. 3)
• Sampling Theory (Ch. 4)
• Transform Analysis of LTI Systems (Ch. 5)
• Structures for Discrete-Time Systems (Ch. 6)
• Discrete Fourier Transform (DFT) (Ch. 8)
• Fast Fourier Transform (FFT) (Ch. 9)
• Filter Design Techniques (Ch. 7)
• Signal Processing Applications

Grades will be decided based on

Computer-based homework exercises (30%)
MID-TERM Exam (30%) - (tentative date: October 25, Tuesday)
FINAL Comprehensive Exam (40%) -  (tentative date: Final Exam Week - December 6, Tuesday)
There will be four MATLAB based computer exercises (10 problems).
There will be NO MAKE-UP for a missed test without prior approval.

Specialization: This is an elective course for undergraduate students (junior/senior EE major) who wish to specialize in the communications and signal processing program. This is a dual listed first level graduate course (a recommended core course for students in the communications and signal processing track). It is also a recommended course for the wireless certificate program, the biomedical systems track and other associated programs.

Additional Course Features:

MATLAB software is used to enhance the students' understanding of the course lectures. A variety of applications are demonstrated in class using software tools.  There are number of computer exercises that the students are required to investigate, design and conduct the experiment and report. Extra help sessions by TA (TBD) for going over the home work solutions and two special sessions (2 hours/session) by faculty prior to exams for discussing practice test will be scheduled.

Blackboard online website (password protected) will serve as the information repository and exchange for the course. In there, the course syllabus, course calendar, assignments, announcements (help session and exam information) , and student performance (grades) will be posted and regularly updated. It also includes other tools such as bulletin board and virtual classroom for sharing information, discussion and extended virtual office hours. It is the responsibility of the students to download updated course information on a weekly basis.

Academic Policies

Homework Policy:

• Assignment Submission Instructions: Homework and Computer Assignments are to be submitted by the due date. No late submissions will be accepted without prior permission. All students must submit the original hard copy of their assignments. Always keep a copy of all your submissions. As a backup students must upload a soft copy of their zipped file (report, MATLAB codes, etc) using digital drop box. Examples of reports (a good  template) illustrating requirements, style and formatting will be provided.
• Home Work Assignments will be collected as per the posted due date and will be graded. Everyone is recommended to do the homework earnestly since it will be a good preparation for the exam. Bonus points will be awarded that can have significance in cases of borderline grades (maximum of 1%). Remember all your assignments are individual effort.
• Computer Assignments (MATLAB codes and Reports) must be completed on your own (i.e., must be an individual effort) and only discussion of the concept is allowed.

Academic Dishonesty Policy: Students are reminded that University policies pertaining to academic dishonesty commonly found in both UG and G catalogs will be applied in this course.  Any form of cheating on exams or plagiarism on assigned homework and projects will result in an FF grade and further suspension or expulsion from the University with NO warnings given. Receiving or providing help on exams, assignments and project; Sharing of program codes and results, and not turning in individual work are all forms of cheating; Submissions that are "identical" in any way are clear evidence of cheating. Copying materials from textbooks and papers without properly referencing them or not giving due credit are forms of plagiarism. It is the student's responsibility to review and understand USF and EE Department policies and procedures on Academic Conduct, Dishonesty, and Disruption.

Copyright Policy: Students are not permitted to sell, redistribute, or publish notes provided by the instructor, including materials posted on blackboard. Audio and/or video recording for class lectures is not permitted without the express permission of the instructor.

Attendance Policy: Students who anticipate the necessity of being absent from class due to the observation of a major religious observance must provide notice of the date(s) to the instructor, in writing, by the second class meeting.

Students with Disabilities: Students in need of academic accommodations for a disability may consult with the office of Students with Disabilities Services to arrange appropriate accommodations. Students are required to give reasonable notice prior to requesting an accommodation.