PDF version of syllabus can be found
here.
Course Description
Discrete-time signals and systems,
z-transforms, discrete Fourier transform, fast Fourier transform, digital filter
design.
Instructor
Dr. Ivan B. Djordjevic, Assistant Professor
Office: ECE 456B
Phone: (520) 626-5119
Email: ivan@ece.arizona.edu
Web: http://www.ece.arizona.edu/~ivan
Textbook
J. G. Proakis, and D. G. Manolakis, Digital Signal Processing: Principles,
Algorithms, and Applications, 4th edition, Prentice-Hall, 2007.
References:
V. K. Ingle, and
J. G. Proakis, Digital Signal Processing using MATLAB, Brooks/Cole, 2nd
edition, 2007.
Office Hours
2:00 PM – 4:00 PM, Wednesday and
Friday
Prerequisites
ECE 340 and Math 322 – You must
understand Fourier principles.
Homeworks and Computer Assignments
• Homeworks will be assigned approximately every 1-2 weeks, and will be due
the following week at the beginning of class.
• Two computer assignments will be given.
Exams
No makeup exams will be offered. If you miss an exam (due to legitimate, and
unavoidable circumstances), the score for that exam will be 90% of the average
of your two other exams.
·
Exam I is scheduled for Thursday, February, 21, 2008
·
Exam II is scheduled
for Thursday, April 3, 2008
Final Exam
Scheduled for Tuesday, May 13, 2008, 11:00 a.m. - 1:00 p.m.
Grading
| |
ECE 429 |
ECE 529 |
|
| Homework |
10% |
10% |
|
| Computer Assignments |
25% |
30% |
|
| Exam #1 |
20% |
20% |
|
| Exam #2 |
20% |
20% |
|
| Final Exam |
25% |
20% |
|
Tentative Course Outline
|
Topic |
Text Chapter |
|
Introduction
|
1 |
|
Discrete-Time Signals and
Systems |
2 |
|
The z-Transform
|
3.1-3.5 |
|
Frequency Analysis of
Signals and Systems |
4 |
|
Frequency-Domain Analysis
of LTI Systems |
5 |
|
The Discrete Fourier
Transform (DFT) |
7 |
|
Implementation of
Discrete-Time Systems |
9.1-9.3 |
|
Design of Digital Filters
|
10.1-10.4 |
|
Sampling and
Reconstruction of Signals |
6 |
|
Other Topics (if Time
Permits) |
|
Course Objectives
To give the student the mathematical tools and intuition for processing digital
signals in the time, frequency and z domains. Students will learn how to filter,
modify, analyze, and extract information from digital signals.
- For more details please see
the PDF version of
syllabus.
Academic Integrity
The University’s Code of Academic Integrity (Section 2.1a) is based on
the guiding principle that a student’s submitted work must be the student’s
own. This policy will be applied to
all work submitted for a grade, including exams, projects, and homework.
Copying previously posted solutions or solution manuals is strictly
forbidden; anyone violating this policy will receive zero credit for homework
for the entire semester. All work must be original.
The minimum penalty for submitting work that is not your own is an E
grade. Repeated violations may
result in expulsion from the university.
Study Groups
Working in study groups can be beneficial if
everyone participates. Therefore,
while working in study groups is allowed and even encouraged, all work submitted
for a grade must be your own. When
this rule is violated, the guilty student will receive a grade of zero on the
offending item. Cheating will not
be tolerated.
