Research in the graduate group in Digital Signal Processing and Digital Communication is centered in established laboratories of the faculty.
Dr. Fauzia Ahmad:
The Multimodal Sensing and Imaging (MSI) Laboratory pursues advanced research, analysis, and development efforts related to microwave, millimeter wave, and acoustic/ultrasonic modalities for a variety of defense and civilian applications. The focus is primarily on providing mathematical foundations and developing optimal and robust algorithmic solutions to pressing problems in the broad areas of multi-sensor signal processing, machine learning, and distributed/networked systems. These efforts are fully supported at each step by testing and validation using real data collected in the MSI Lab.
Currently, the research efforts in the MSI Lab are focused on passive synthetic aperture radar imaging, underwater sonar array processing, forward-looking ground penetrating radar, remote patient monitoring and eldercare, automotive radar, distributed signal processing, graph signal processing, additive manufacturing, and coexistence of radar and communications.
Dr. Dennis Silage:
The System Chip Design Laboratory (SCDL) is forging a new paradigm for the rapid design of complex digital systems, digital signal and image processing, digital communications, and advanced processor systems in field programmable gate arrays (FPGA) and now reconfigurable system-on-chip (SoC) architectures utilizing behavioral analysis and synthesis and industry-standard digital design and embedded system computer aided (CAD) software tools.
SCDL facilities for behavioral and hardware synthesis include the complete Integrated Synthesis Environment (ISE) and the Vivado design suite from Xilinx. SCDL pursues research in the SoC design methodology that utilizes hard processor intellectual property (IP) cores, reconfigurable SoC and soft core architectures on FPGA, on-chip busing arbitration architectures, and the integration of heterogeneous multiple processor real-time operating systems (RTOS).
Dr. Yimin Daniel Zhang:
The Advanced Signal Processing (ASP) Laboratory investigates statistical signal and array processing, time-frequency analysis, compressive sensing, and convex optimization for applications in wireless communications, radar, RFID, navigation, and assisted living.
The ASP Lab is currently supported by the National Science Foundation (NSF), the Office of Naval Research (ONR), and the Air Force Research Laboratory (AFRL) to conduct projects related to target localization and tracking, time-frequency analysis, space-time adaptive processing, radar imaging, motion classification, and optimization.