Digital Signal Processing

Spring 2005, 11:30 am - 12: 20 pm, MWF 2133 SC

Course Goals:        

The course is intended to be the first course on digital signal processing. This course is designed to introduce students to the theoretical concepts and practical issues associated with processing discrete data. A special effort will be made to develop students’ critical thinking, problem solving skills and engineering intuition. New concepts are integrated with students’ previous experience through use of systems theory. Upon completion of the course,

• The student will have an understanding of theoretical concepts and practical issues associated with processing discrete data.

• The student will have an understanding of different approaches to process analog signals using discrete systems

• The student will have an understanding of different approaches to process discrete signals using analog systems

• The student will have an understanding of transform analysis of LTI systems.

• The student will have an understanding of discrete system structures.

• The student will have an understanding of filter design.

• The student will have an understanding of discrete Fourier transform.

• Students will be familiar with relationships between various discrete and continuous transforms.

• Students will reinforce the theoretical knowledge acquired in Lectures by Matlab assignments.

 

Instructor:

Prof. Zhiqiang Liu

4320Seamans Center

384-0602

Office Hours: 3:30pm - 4: 30pm Mon, Wed (Time may change)

        If you find me in my office at other times and I have time, I am very willing to talk to you at any hour of the day, seven days a week. The only exceptions are 10:00 am - 2:30 pm MWF and 12:00– 1:00 TTh at which times I am very unwilling to talk to you. I like to reserve this time for class preparation and lunch. It will be preferable if you can send me an email to set up an appointment.

zhiqiang-liu@uiowa.edu

 

Teaching Assistant :

Stella-Rita Ibeawuchi

1313 Seamans Center

Office Hours: 1:00 - 2:00 pm Monday, 8:00 - 9:00 am Tuesday & Thursday

sibeawuc@engineering.uiowa.edu

 

Lecture Time & Place:

11:30p-12:30p Mon Wed & Fri, 2133 Seamans Center

 

Class Web:

       http://www.engineering.uiowa.edu/~ece_046/

 

Text Book:

   

Discrete-Time Signal Processing

Alan V. Oppenheim and Ronald W. Schafer, Prentice Hall, 2nd Edition, 1999

          

       Computer-Based Exercises for Signal Processing Using MATLAB Ver.5

       James H. McClellan, C. Sidney Burrus, Alan V. Oppenheim,Thomas W. Parks,Schafer, Prentice Hall, 1998

 

References:

Digital Signal Processing: Principles, Algorithms, and Applications, 3rd Ed.,

Proakis & Manolakis, Prentice-Hall, 1996

 

Prerequisites:

55:043 Linear System II

Matlab Programming

 

Grading:

• Homework: Weekly homework assignments 25%. You should turn in your homework at the beginning of the class on the due day. The graded homework will be returned in class.
• Quiz: Unannounced short quizzes 5%. Quizzes will cover materials before that day's lecture.
• Two Midterm Exams: 20% each, closed book; one page of notes allowed for the first midterm, and two pages of notes allowed for the second miterms, calculator OK.
• Final Exam: 30%, closed book; three pages of notes allowed, calculator OK.
• Final Grade depends on your standing in the class.

 

Class Policies:

• Scholastic misconduct is broadly defined as "any act that violates the right of another student in academic work or that involves misrepresentation of your own work. Scholastic dishonesty includes, (but is not necessarily limited to): cheating on assignments or examinations; plagiarizing, which means misrepresenting as your own work any part of work done by another; submitting the same paper, or substantially similar papers, to meet the requirements of more than one course without the approval and consent of all instructors concerned; depriving another student of necessary course materials; or interfering with another student's work." See also:

• Student conduct and academic honesty

• Audit policy: A successful audit requires at least 60% completion of homework

• Makeup policy: No makeup exams will be given, unless there is a documented emergency and suitable arrangements are made with the instructor prior to the date of the scheduled exam. Students are responsible for all information disseminated in class and all course requirements, including deadlines and examinations. A student may not submit extra work in an attempt to raise his or her grade.

• Each homework assignment is due at the beginning of class on the due date. Late homework will not be accepted.

 

Syllabus: -tentative

Last Update: 01/16/2006