ECE 4364 and ECE 5364: Digital Signal Processing

Fall 2011, 11:00 - 11:50 am MWF

Dr. Tanja Karp
Office: EE 235
Office Hours: Monday and Wednesday, 2 - 3 pm, Friday 9-10 am, and by appointment.
Email: tanja.karp@ttu.edu
Website: http://www.myweb.ttu.edu/tkarp

Catalog Description:

ECE 4364 and ECE 5364. Digital Signal Processing (3:3:0). Prerequisite for ECE 4364: ECE 3323. An introduction to digital signal processing. Sampling, z-transform, discrete and fast Fourier transforms, flowgraphs, design techniques for digital filters, effects of finite word length, and applications.

Course Objectives:

Upon completion of this course students should be able to analyze and design systems employing digital signal processing techniques. 

Learning Outcomes:

Upon completion of this course, students will be able to:
  1. Describe and analyze discrete time signals in the time domain and frequency domain.
  2. Apply digital signal processing techniques to analyze discrete time signals and systems
  3. Apply digital signal processing techniques to design discrete time systems
  4. Solve digital signal processing problems using Matlab.
  5. Design and apply digital filters

Assessment of Learning Outcomes:

Learning outcomes 1, 2, 3 will be assessed through homework assignments and exams. Learning outcomes 4 and 5 will be assessed through projects.

Prerequisite for ECE 4364:

ECE 3323.

Contributions to Professional Component:

This course includes engineering topics and engineering design. In addition, the course includes a design project in which students are encouraged to use simulation tools such as those available in MATLAB.

Topics:

  1. Introduction; discrete time signals and systems - 3 hours
  2. Sampling and reconstruction - 3 hours
  3. Convolution - 3 hours
  4. Discrete transforms; DFT, FFT - 5 hours
  5. Z-transform and applications - 5 hours
  6. Transform domain analysis of LTI systems - 3 hours
  7. Finite impulse response digital filter design - 3 hours
  8. Infinite impulse response digital filter design - 3 hours
  9. Digital Signal Processors - 3 hours
  10. Digital signal processing applications - 3 hours
  11. Tests and reviews - 3 hours

Relationship of Course to Program Outcomes:

This course addresses EE and CMPE Program Outcomes a, c, e and k.

Textbook:

A.V. Oppenheim and R.W.Schafer, Discrete Time Signal Processing, Prentice Hall, 2009, 3rd edition. (The 2nd edition can still be used.)

Additional Reading:

Further course material can be found in the detailed course syllabus.

Software:

Students will perform projects using MATLAB software. The ECE computer lab as well as computers at the TTU library have MATLAB installed. Students who own a laptop are strongly encouraged to purchase the MATLAB & Simulink Student Version Release 2011b which can be downloaded from the provided link (purchase requires proof of student status).

Course Organization:

We will have lectures on Mondays and Wednesdays. Fridays are reserved for pop-up quizzes,homework, and project presentations.

Course Grade:

Homework: 5 % weekly
Pop-Up Quizzes:  10 % weekly
First Exam: 30 % evening exam, October 24th, 6-9 pm  
Second Exam: 30 % evening exam, November 30nd, 6-9 pm  
Projects: 25 % 3-5 projects

Grading Keys:

100% = 100 points

Grading key to convert number grades in letter grades: 0-59 F, 60-62 D-, 63-66 D, 67-68 D+, 69-72 C-, 73-76 C, 77-78 C+, 79-82 B-, 83-86 B, 87-88 B+, 89-92 A-, 93-96 A, 97-100 A+

Homework:

Homework will be assigned on a weekly basis. Homework assignments and the due date will be announced in class and published on the teaching webpage. Homework solutions will be discussed in class. Selected homework assignments will be graded for homework credit. These assignments will be chosen randomly by the instructor on the due date. Grading is based on correctness and clearness of presentation.
Warning: You will need the knowledge acquired through homework assignments for the exams. If you do not work on homework assignments regularly it is very unlikely that you will be successfull in the exams.

Pop-Up Quizzes:

Unannounced quizzes will be given regularly on Fridays. No make-ups for quizzes will be given. All quizzes will be closed book. No calculators will be allowed. Solutions will be discussed in class at the beginning of the next class period. If you cannot come to a class meeting, please send me an email before or right after the class meeting explaining the circumstances.

Exams:

Exams will be given during evening hours. The exams will be open book and calculators will be allowed.

Project:

Projects will be assigned during the semester. Project assignments and the due date will be announced in class and published on the teaching webpage. Project groups consist of 3 students. Projects require some theoretical investigations, simulation, and documentation. Students must have worked with at least 6 different classmates during the projects. Groups of students from different undergraduate institutions are strongly encouraged.

Missed Assignment Regulations:

Students who are absent during quizzes or exams will receive "0" points. Make up exams will be scheduled for students who have an authoritative excuse for missing class and inform me in advance (if possible).

Grievance Policy:

If you feel your assignment, exam, or quiz has been graded incorrectly, and an insufficient number of points assigned to you, you must bring the item to my attention within ONE WEEK of the date the graded exam, quiz or homework is returned to the class. No points will be awarded to you if you wait longer than one week to bring up your grievance.

Classroom Citizenship:

All students are expected to come to class alert and ready to participate. Get a drink and visit the restroom before class. If you must leave the class before the end of the session, do not return. Sleeping, reading newspapers, and doing homework for other classes is not allowed during class. Students are expected to assist in maintaining a classroom environment that is conducive to learning. Inappropriate behavior in the classroom shall result, minimally, in a request to leave the class.

Academic Integrity:

It is the aim of the faculty of Texas Tech University to foster a spirit of complete honesty and a high standard of integrity. The attempt of students to present as their own any work that they have not honestly performed is as a serious offense and will result in a course failure and referral to the University Student Judicial Services. Students are referred to the Academic Regulations of the Undergraduate Catalog which apply to this course.

ADA Compliance Statement:

Any student who, because of a disability, may require special arrangements in order to meet the course requirements should contact the instructor as soon as possible to make any necessary arrangements. Students should present appropriate verification from Student Disability Services during the instructor’s office hours. Please note instructors are not allowed to provide classroom accommodations to a student until appropriate verification from Student Disability Services has been provided. For additional information, you may contact the Student Disability Services office in 335 West Hall or 806-742-2405.