EE 381K Digital Communications- Fall 1995



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.


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.


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.