Instructor:   Stanley J. Reeves 


Office:  221 Broun 


Phone:  844-1821 


Email:  reevesj@auburn.edu



Web:  http://www.eng.auburn.edu/~reevesj

Class Hours: MWF 8:00 - 8:50 a.m.

Office Hours: MWR 2:00 - 3:00 p.m. and by appointment

Text: S. J. Mitra Digital Signal Processing: A Computer-Based Approach, 3rd ed., McGraw-Hill.

Web Site: http://www.eng.auburn.edu/~reevesj/Classes/ELEC6410/
This will be used for several things:

• electronic presentation of computer assignments
• syllabus
• miscellaneous related info

Reference for computer exercises:
Beginning MATLAB for Engineers, S. J. Reeves, College House Enterprises, LLC, 2001.
Kermit Sigmon, MATLAB Primer, 3rd edition, 1993. Note: An online version can be found on the Engineering Sun Network under the ELEC 5410/6410 Web Info Site. The primer is 39 pages. Other online help is also available through this site.
Don't ask me MATLAB questions until you have read the online info provided.

Prerequisites by Topic:

1. Frequency response of linear systems.
2. Laplace and Fourier Transforms.
3. Probability and random processes.

Course Objectives:

This course covers the fundamental theory and important applications of digital signal processing. Upon completion of the course, the student should have a solid foundation in basic digital signal processing. The objectives of the course will be:

1. To develop methods for processing discrete-time signals. These signals include waveforms that originate as discrete-time signals as well as those that originate from sampling continuous-time signals.
2. To understand the processes of analog-to-digital and digital-to-analog conversion.
3. To understand the discrete Fourier transform and fast Fourier transform.
4. To learn the basic techniques of digital filter implementation and design.
5. To become aware of some applications of digital signal processing.

Teaching Philosophy:

A statement of my teaching philosophy can be found at http://www.eng.auburn.edu/~reevesj.

Grading Policy:

6410 students will at times be given extra problems on the quizzes, computer assignments, and tests to differentiate from the 5410 students.

Homework: Homework will be assigned regularly but not graded. Solutions will be made available.

Test: A midterm test will be given October 5.

Friday Quizzes:

Ten-minute quizzes will ordinarily be given at the beginning of class on Fridays. These quizzes will be based closely on homework problems assigned prior to the quiz. Friday quizzes will be graded on a 10-point scale. One quiz grade before the test (mid-semester) and one after the test will be dropped, so there will be no make-up quizzes. Grade appeals on quizzes will only be allowed within one week of the class following the quiz, so please check the web regularly to make sure your grades are posted accurately. Always have a blank sheet of paper with your name on it ready at the beginning of Friday class.

Computer Projects:

Computer projects will be a major part of the learning process for this class. These assignments will consist of projects to illustrate and explore various signal processing concepts. All out-of-class work is to be done independently. Sharing of programming tips and discussing general concepts is ok. Collaborating on experiments or code-writing is not. Any such collaboration on these assignments will be considered an act of dishonesty and will be treated accordingly.

Blog:

Each 6410 student will be expected to write a tutorial blog about one individually assigned topic. 5410 students will be expected to read and rate every blog posted and make constructive comments. The 6410 blog grade will be based on content and rating. The 5410 blog grade will be based on participation.

Final Exam:

The final will be cumulative with about 2/3 weight on the material after the midterm test. Tentatively, the schedule is Wednesday, December 12, 9:00-11:30.

Professionalism:

Students are professionals in training and should make every effort to take a professional approach to learning and classroom behavior. The following are specific areas of concern:

1. Attendance: Attendance is important and expected but not required. However, it is unprofessional behavior for a student to miss class without a valid excuse and then expect individual help or consideration from the instructor.
2. Punctuality: Professionals show respect to others in a meeting by being on time. Walking in late distracts the instructor and other students. Tardiness should be a rare event.
3. Restroom: The restroom is for use before and after class and for medical emergencies. Plan ahead!
4. Talking in class: Avoid obscene and profane speech. Exchanges with classmates during class should be quiet and related to the lecture. Stop talking when the instructor begins the class.
5. End of class: Do not rustle papers, slam books shut, snap three-ring binders, or shuffle around near the end of class. The instructor will work hard to end class on time, but the last few statements may be the most important of the entire class period. Do not distract yourself or others from hearing these.
6. Laptops: Laptops are to be used only for class purposes. Do not display anything that will distract others. Laptops are to be closed during quizzes and tests.
7. Cell phones: Cell phones should be in silent or vibrate mode and not answered during class apart from an emergency.
8. Personal audio devices: These should be turned off and earphones removed during class.
9. Spitballs: Do not throw spitballs or put tacks in the instructor's chair. This is generally considered unprofessional behavior, except in Elbonia.

Students with Disabilities:
Students who need special accommodations are encouraged to see me after class or in my office as soon as possible so we can discuss your situation confidentially. You can contact me by phone or email if my office hours conflict with your schedule. Please bring your memo from The Program for Students with Disabilities (PSD) to me as soon as possible; we can discuss it during your appointment. Exam accommodations must be arranged at least one week in advance. If at any time during the quarter you feel that the accommodations we have put in place are not working, please consult with me and/or the professional staff in the PSD office. If you do not have a memo from the PSD office that tells me about your accommodations, please make an appointment to see them in 1232 Haley Center (844-2096).

Other References:

A. V. Oppenheim, R. W. Schafer, and J. R. Buck, Discrete-Time Signal Processing, 2nd ed., Prentice-Hall, 1999.

1. Introduction
   1. Overview of digital signal processing
   2. Linear, time-invariant systems
   3. Properties of discrete-time systems
   4. Sampling theorem
2. Z-transform
   1. Properties of the z-transform
   2. System functions
   3. Poles and zeros
3. Digital filter design
   1. FIR filters
   2. IIR filters
   3. Filter structures and roundoff error analysis
4. Discrete Fourier Transforms and Fast Fourier Transforms
5. Applications

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