Communications and Signal Processing Track

Communications and Signal Processing Track

Communication and signal processing are enabling technologies that make our world digital and connected. This field uses fundamental theory in signal and information processing, designs spectrum and energy efficient communications system or sensor networks for data gathering and transmission, and keeps pushing the scientific discovery boundaries. Recent examples include 5G mobile wireless communications, Internet of Things, Machine Learning, Big Data, Virtual Reality, etc.

The Communications and Signal Processing track shows the flow of courses in the Undergraduate and Master track, including prerequisite, mandatory courses, and electives associated with various techniques for improving the accuracy and reliability of digital communications. UG students will take the same 2 prerequisites for each path and 2 electives, as well as taking recommended electives and mandatory courses for the either the Communication or Signal Processing path. MS students should take 5 electives for their particular focus.

Undergraduate

Prerequisites for Communication and Signal Processing

  • EE 3316 CONTINUOUS AND DISCRETE TIME SIGNALS AND SYSTEMS
  • EE 3330 PROBABILITY AND STATISTICAL METHODS 

 Electives for Communication Focus

  • EE 4330 FUNDAMENTAL OF COMMUNICATION SYSTEMS (Recommended)
  • EE 4331 DATA COMMUNICATION ENGINEERING
  • EE 4333 WIRELESS COMMUNICATION AND IOT
  • EE 4362 DIGITAL COMMUNICATION
  • EE 4364 INFORMATION THEORY AND CODING

 Electives for Signal Processing Focus

  • EE 3318 ANALOG AND DIGITIAL SIGNAL PROCESSING (Mandatory)
  • EE 4318 DIGITAL SIGNAL PROCESSING
  • EE 4357 INTRO TO MACHINE LEARNING

Master

Electives for Signal Processing Track

  • EE 5350 DIGITAL SIGNAL PROCESSING
  • EE 5352 STATISTICAL SIGNAL PROCESSING
  • EE 5353 NEURAL NETS & DEEP LEARNING
  • EE 5354 MACHINE LEARNING
  • EE 5356 DIGITAL IMAGE PROCESSING

Electives for Communications Track

  • EE 5360 DATA COMMUNICATION ENGINEERING (Communication focus)
  • EE 5364 INFORMATION THEORY AND CODING (Communication focus)
  • EE 5368 WIRELESS COMMUNICATION AND IOT (Communication focus)
  • EE 5362 DIGITAL COMMUNICATION (Communication focus)
  • EE 5354 INTRO TO MACHINE LEARNING (Signal Processing focus)
  • EE 5350 DIGITAL SIGNAL PROCESSING (Signal Processing focus)

Administration

Dr. Wei-Jen Lee
Professor and Interim Chair
817-272-3934
wlee@uta.edu

Dr. Jonathan Bredow 
Professor & Associate Chair 
817-272-3472
jbredow@uta.edu

Dr. Sungyong Jung
Professor & Associate Chair
817-272-1338
jung@uta.edu

EE Staff Directory

Undergraduate Applicants

Graduate Applicants