PhD student John Jakabosky runs a proof-of-concept experiment on transmitter-in-the-loop optimization of advanced radar waveforms.
EECS researchers are building innovative signal processing techniques that exploit noise and interference for additional information or as cover for covert messages. They are developing static/adaptive filtering schemes that will better enable cooperative communication systems and networks. Remote sensing research of the polar ice caps has led to numerous developments in signal processing. New techniques and methods are being explored in computer vision, digital image processing, optical sensors, and other current EECS research.
Associated Disciplines
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Associated Programs
Associated Faculty
Primary Research Interests
- Waveform Diversity/Design for Physical Systems
- Spectrum Engineering
- Adaptive Signal Processing for Radar and Communications
- Interference Cancellation
- Array Processing
Primary Research Interests
- Optical/RF Measurement and Biosensors
- Novel Photonic Devices
- Optical Communication Systems
Primary Research Interests
- Radar System Design and Development
- Remote Sensing of Ice and Snow
- High Resolution Radar for Agricultural Applications
- Planetary Radar Sounding
Primary Research Interests
- Digital Communication Theory
- Advanced Modulation Techniques
- Channel Coding
- Synchronization
- Multiple-Input Multiple-Output Communications
Primary Research Interests
- Audio Signal Processing
- Network Performance
Primary Research Interests
- Software Radio Systems
- Spread Spectrum and Military Communication Systems
- Radio and Radar Signal Processing
- DSP Applications in Acoustics and Radio Signals
- Wireless Communication Systems
Primary Research Interests
- High Performance Scientific Computing Algorithms
- Parallel Unstructured Mesh and Optimization Algorithms
- Model Order Reduction
- Computational Medicine
- Image Processing
Primary Research Interests
All aspects of electromagnetic sensing, including:
- Radar Signal Processing
- Radar Remote Sensing
- Applications Estimation Theory in electromagnetic sensing
- Applications of Marginal Fisher's Information in sensor Design
- Ground-Penetrating Radar
- Wave Propagation and Scattering
Primary Research Interests
- Computer vision
- Image processing
- Pattern recognition
- Artificial intelligence
- Robotics
Associated Facilities
- Xilinx and Altera FPGA/SoC prototyping systems
- Synplicity and Xilinx FPGA synthesis tools
- ModelSim VHDL/Verilog simulation tools
- Spectrum analyzers, oscilloscopes, and function generators
- Prototype PC board fabrication tools
- RF signal generators
- Simulink
- Computational cluster with over 1,000 processors connected to 37 TB of on-line storage
Program Objectives
- Understand the fundamental principles involved with extracting signals from noise and interference.
- Understand how to design appropriate static/adaptive filtering schemes according to the particular application, availability of prior information, and operational environment.
- Understand the fundamental limitations imposed by physical systems that bound realizable performance.
- Have the ability to effectively communicate complex, abstract concepts.
Core Coursework (MS)
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Elective Coursework (MS)
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Explore: EECS Courses
