University of North Texas, College of
Engineering
Department of Electrical Engineering
EENG 5610: Digital Signal Processing
Fall 2011
Tuesday and Thursday,
3:30 - 4:50 PM
Classroom: B217
Instructor
- Dr.
X. Li, Office: NTRP B231, Tel: (940) 891-6875, Email: xinrong@unt.edu
Office Hours: Tuesday and Thursday, 2:30 - 3:20 PM
(Additional appointments can be requested by email.)
Course
Description
- Introduction
to modern digital signal processing theory and techniques. Includes
discrete time signals and systems, sampling theorem, Z-transform,
frequency analysis of signals and systems, discrete Fourier transform,
fast Fourier transform algorithms, and digital filter design.
Prerequisites
Course Objectives
By the
end of the course, you will learn
- Basic theories of digital signal
processing;
- Analysis and design of digital
signal processing systems and computational techniques.
Required Textbook
- Digital Signal Processing:
Principles, Algorithms, and Applications, Fourth Edition, 2007.
Author: John G. Proakis and Dimitris G. Manolakis, Publisher: Pearson
Education, Inc.
ISBN: 0-13-187374-1
Course
Requirements and General Policies
- Class attendance is mandatory. Lectures
and class discussions will contain vital information needed to do well on
the exams.
- Everyone must turn in individual
homework. Simply copying other's homework will be treated as a violation
of academic honesty.
- If
you arrive late, please enter quietly and sit down. Do not walk in front
of speakers or disrupt the class in any other way.
- Please
remember to turn off phones prior to class.
- Please
do not wait until the last minute. If you are having trouble with this
class, please come by my office during office hours. I am also available by
email.
- Please visit http://www.unt.edu/csrr for your rights
and responsibilities.
Disability
Accommodation
- The University of North Texas
(UNT) complies with Section 504 of the 1973 Rehabilitation Act and with
the Americans with Disabilities Act of 1990. UNT provides academic
adjustments and auxiliary aids to individuals with disabilities, as
defined under the law. Among other things, this legislation requires that
all students with disabilities be guaranteed a learning environment that
provides for reasonable accommodation of their disabilities. If you
believe you have a disability requiring accommodation, please see the
instructor and/or contact the Office of Disability Accommodation (http://www.unt.edu/oda) at 940-565-4323
during the first week of class. It is the responsibility of students with
certified disabilities to provide the instructor with appropriate
documentation from the Dean of Students Office.
Assignments
and Exams
- There will be 9 homework assignments.
No late assignments will be accepted and no emailed assignments will be
accepted, except in extenuating circumstances. Homework is due before the
class in the following week.
- There
will be 2 exams (this includes the final exam). Exams will be based on
text readings, handouts, class exercises, class lectures and discussions,
and homework assignments. Students are responsible for all text material,
regardless of whether we review the text material in class or not. You
will be allowed to make up a missed exam only if you have a documented
university excused absence. If you know in advance that you will miss an
exam, you must contact me before the scheduled exam.
Grading
Policies
- Homework, 20%
- Mid-term Exam, 40%
- Final Exam, 40%
- There will be no extra credits.
- Final
accumulated number score is on a 100 point scale.
- Final
letter grade distribution: A=100-85, B=75-84, C=65-74, D=55-64, F=0-54
Course Outline
and Tentative Schedule
- First Day of Class, 08/25/11, Thursday, 3:30 - 4:50 PM
- Course Introduction;
Class 1: Introduction to Signals, Systems, and Signal Processing
- Class 2: Discrete-time signals and systems
- Class 3: The z-Transform and It's Applications
- Class 4: Frequency Analysis of Signals
- Class 5: Frequency-Domain Analysis of Systems
- Mid-term Exam, 10/13/11, Thursday, 3:30 - 4:50 PM
- Class 6: Sampling and Reconstruction of Signals
- Class 7: Discrete Fourier Transform
- Class 8: Implementation of Discrete-Time Systems
- Class 9: Design of Digital Filters
- Final Exam, 12/15/11, Thursday, 1:30 - 3:30 PM
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