CONCORDIA UNIVERSITY
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
ELEC 6601 DIGITAL SIGNAL PROCESSING
&
ELEC 442 INTRODUCTION TO DIGITAL SIGNAL PROCESSING
SUMMER 2007
Lecture Information
Lecturer: Dr. Amir G. Aghdam
Email: aghdam@ece.concordia.ca
Lectures: Tuesdays and Thursdays 17:45-20:15, FG-B060
Office and Office Hours
Room EV005.126
Tuesdays and Thursdays 15:00-16:30
Course Objectives
This course is concerned with the processing of the sequence of samples and includes
the representation, transformation, and manipulation of signals and the information
they contain.
Project
Project is an essential part of this course. There will be five projects. Computer
simulations for the projects are urged and in most cases required. The amount of time
saved using MATLAB simulations, if learned early in the semester, will be great.
Exams
There will be one midterm in addition to the final comprehensive examination. There
will be no make-up exams.
All exams will be closed book. However the students are permitted to bring in with
them one 8.5*11 inch sheet of paper, written on both sides. Anything may be written
on this paper. Students may photocopy things and tape/glue them to their crib sheet.
However the taping/gluing must be on all 4 corners so that the attachment is not a
"flap" that can be lifted up and more written underneath. The surface area available is
only for the one 8.5*11inch piece of paper. Only non-programmable calculators are
allowed.
Grading
Project
Midterm
Final Exam
25%
25%
50%
OR:
Project
Midterm
Final Exam
25%
0%
75%
whichever is better.
Textbook
Discrete-Time Signal Processing by Alan V. Oppenheim, Ronald W. Schafer and
John R. Buck, 2nd Edition, Prentice Hall
Course Schedule
DATE
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
TOPIC
Discrete-time signal and systems
2.0 – 2.9
z-transform
3.0 – 3.4
Sampling of continuous-time signals
4.0 – 4.8
Midterm
Transform analysis of linear time-invariant systems
5.0 – 5.6
Structures for discrete-time systems, Filter design techniques
6.0 – 6.5, 7.0 – 7.2, 7.4, 7.5
Discrete Fourier transform
8.0 – 8.7
Final Exam