ARIZONA STATE UNIVERSITY
School of Electrical, Computer, and Energy Engineering
EEE 507
Multidimensional Signal Processing
Fall 2015
Course Information
Class Hours: Tuesdays and Thursdays 3:00 p.m. – 4:15 p.m.
Location: USE 103
Web Page: http://lina.faculty.asu.edu/∼karam/eee507
Instructor:
Prof. Lina J. Karam
Office: GWC 430
email: karam@asu.edu (best way to reach me)
Phone: (480) 965-3694
Fax: (480) 965-8325
Office Hours: Tuesdays 9:00 a.m. to 10:00 a.m., and Thursdays noon to 1:00 p.m.
Text: Dudgeon and Mersereau, Multidimensional Digital Signal Processing. This book was originally published by Prentice-Hall (1984) and is currently out of print. The instructor obtained
permission from the authors to copy and distribute the book to students registered in this course.
The book will be available electronically under blackboard.
Course Prerequisite: EEE 404 Real-Time Digital Signal Processing, or EEE 407 Digital Signal
Processing, or equivalent.
Objectives:
This course is concerned with understanding signals of more than one variable and with systems for processing them. The most common examples of these signals include sound, images,
video, medical imaging, and arrays of sensors commonly encountered in sonar, radar, and seismic
exploration. The course intends to instill the following:
1. A feeling for the similarities and differences between one-dimensional and two-dimensional
digital signal processing.
2. The ability to apply knowledge already available to novel situations.
3. The ability to design, analyze, and use systems for processing multidimensional data.
4. An introduction to image and array processing issues.
Class Attendance Policy:
On-Campus students are expected to attend all class lectures. A maximum of FIVE
unexcused absences will be allowed. Any student with more than five unexcused absences will
receive a failing grade in the course. Excused absences are absences due to emergencies documented
by a doctor’s report or police report justfying the absence. If a student is more than 15 minutes late
to the class lecture, the student will be considered as absent. Students are responsible for everything
covered, announced, or distributed in lectures and/or on course web site including Blackboard.
Homework:
Homework will be assigned every other week on Thursday and will be due in two weeks. Working
homework problems is an important component of the course. Any graded material including
homeworks, is to evaluate each student’s own understanding and performance skills. So, students
are not allowed to refer to past homework solutions and/or solution manuals when solving the
assigned homework problems. Students are encouraged to seek the help of the instructor when
they encounter difficulties in solving assigned homework problems.
Project:
The project for this class conists of creating and/or updating a web-based article or material
to be made available online to the community. You are encouraged to work in a group of two on
the project.
Exams:
One Midterm exam and one Final exam will be given. All exams are to be taken on the dates
and at the times (Arizona time) specified by the instructor. Exams that are not taken on the
specified date and during the allowed time period will not be accepted and will be awarded a zero
grade. Exam dates and times are listed below in this handout, but these can change if circumstances
warrant it. Students who cannot take an exam on the specified date and/or during the specified
time should contact the instructor as soon as possible and at least 7 days prior to the specified date
for that exam. Also, students need to abide by the exam rules as discussed in class and as written
on the front page of the exam.
Academic Integrity:
Students should abide by the Student Academic Integrity Policy and ASU’s Student Code of
Conduct which can be found at http://www.asu.edu/studentlife/judicial/integrity.html and
http://www.asu.edu/aad/manuals/sta/sta104-01.html.
Under no circumstances will violations of academic integrity be tolerated. Violations of academic integrity include, but are no limited to, cheating, fabrication, tampering, plagiarism, or
facilitating such activities. Penalties include reduced or no credit for submitted work, a failing
grade in the class, a note on your official transcript that shows you were punished for cheating,
suspension, expulsion and revocation of already awarded degrees.
If you are not sure if something is allowed or not allowed, you should ask the course instructor.
Grading Formula:
Homework
Midterm
Project
Final Exam
15%
30%
20%
35%
Important Dates:
Midterm
Final Exam
Thursday 29 October, 3:00 p.m. to 4:15 p.m. (AZ)
Tuesday 8 December, 2:30 p.m. to 4:20 p.m. (AZ)
Subject to Change Notice:
All effort will be made to follow the syllabus, but the syllabus can be modified by the instructor
if circumstances warrant it.