EE 381K Digital Communications- Fall 1995
- Meets TTh 3:30-5:00, CPE 2.216
- Unique No: 14555
Instructor
- Gustavo de Veciana
- Office: ENS 435
- Office Hours: M 11-12 4-5, W 2-3 or by appt.
- Email: gustavo@ece.utexas.edu
- WWW: http://www.ece.utexas.edu/~gustavo
Description
This course aims to study the interaction among
signal processing algorithms, modulation techniques
and impairment encountered on the media used for
digital communications.
We will begin by discussing
the media used for digital communications, including optical fiber, wire and
coax, microwave radio, and the voiceband telephone channel. Next we
discuss modulation techniques, emphasizing QAM and its derivatives. Optimal
signal and receiver design are then studied.
Methods for countering intersymbol interference, and techniques for
equalization are derived. Optimal detection techniques are derived and applied
to the Gaussian noise channel with intersymbol interference,
and several sub-optimum detectors of practical importance are also covered.
Error-correction and prevention techniques will be discussed focusing
on convolutional and trellis coding techniques.
The Viterbi algorithm for maximum likelihood detection is
described and applied to a number of detection problems
including, line coding, partial response.
Carrier synchronization and timing recovery will be introduced.
The course wrap-up includes a description of
how this material relates to the construction of larger communication
networks.
This course should prepare students for the design of digital communications
systems, including modem and transceiver design. In addition, it provides
experience with important signal processing techniques that are applicable
in a wide variety of applications.
Prerequisites
This course is intended for graduate students with a
background in communications, a reasonable
grasp of signal processing, and an understanding
of probability and random processes.
Required text
Lee and Messerschmitt, ``Digital Communication"
Kluwer Academic Publishers, Second Edition, 1994.
Format/Evaluation
Homework will be assigned weekly and will be due at
the beginning of the first class on the following week.
They will be graded on a {-,ok,+} basis, and you will
get solutions. Homework will be worth 25% of your grade.
There will be 3 exams worth 25% of the grade each.
Final Exam:
Scheduled on Monday, December 18, 2-5:00 pm.
Where does this course fit in?
In conjunction with this course, you might consider taking:
Probability and Random Processes
this is a foundations graduate course;
Digital Signal Processing;
and/or
Communication Networks.
After taking this course you might consider taking,
Wireless Communications;
Advanced Signal Processing;
and/or
Information Theory.
Note:
All departmental, college and university
regulations concerning drops will be followed.
The University of Texas at Austin provides upon request appropriate
academic adjustments for qualified students with disabilities.
For more information, contact the Office of the Dean of Students at
471-6259, 471-4241 TDD.