Graduate Signals & Systems

Signals & Systems is the study of how to effectively send and process information. Information can be sent as 0s and 1s on an electrical device, or it can be send through the air as an electromagnetic wave, like radiowaves or microwaves. Signal & systems engineers design communication protocols for everything from cell phones to satellites in space. The electrical signal being sent can represent many different types of information, like a human voice, written text, or an image. Signals & systems engineers also have to find effective ways to interpret signals from sensors, like a heart rate monitor or air quality sensor. One exciting, but difficult, problem our faculty are working on is computer vision, which is the study of how to enable computers to “see” and process information from pictures like humans do. As the world becomes more and more interconnected with wireless devices and sensors, it will become increasingly important to have effective and efficient ways to exchange, collect and store data in our technology-driven world.
Signals Faculty and Research

Suggested Courses and Programs of Study

The following are suggested Programs of Study for a full-time Electrical Engineering graduate student pursuing an MS degree with an emphasis in Signals & Systems. It is not required that students follow these course schedules, but they can be used as a guide for planning out their graduate studies.

These Programs of Study meets the requirements for the Coursework option and can easily be modified to meet the Project option. Students who wish to complete the Thesis option will need to take 10+ credit hours of ECE 6970 Thesis Research are recommended to meet with the Graduate Student Coordinator to create their academic plan.

As long as the MS degree requirements are met, any 5000-level or above ECE or allied (Math, Physics, CS, or other Engineering) courses may be substituted.

Non-Thesis Supervisory Committee

Rong Rong Chen

Signal processing and communication systems: efficient utilization of multiple antennas for high-rate communications in wireless networks, statistical detection methods for underwater acoustic communications, and other fields related to communication systems and statistical signal processing.

Mingyue Ji

Information theory, communications, signal processing, storage, distributed computing, fundamental limits, code design and algorithms of caching networks with various structures, channel models and communication schemes. Distributed storage for big data and interaction between distributed (cloud) storage and content delivery networks. Fundamental theory and algorithms of distributed computing for big data

Yu Xiang

Statistical signal processing and information theory

Industry Partners

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