Mr. Gregory Allen
The University of Texas at Austin
Monday, October 16th, 2:30 PM, ENS 602
We first give an overview of continuous-time and discrete-time approaches to beamforming. Beamforming is a signal processing technique applied to the data received by an array of sensors to detect and locate objects in an environment, e.g. locating whales using sonar. Beamformers use the spatial and temporal information to improve source localization. In discrete-time beamformers, the data is sampled in space and time. We can use additional time samples (snapshots) to improve resolution. After the overview, we will discuss real-time implementations of sonar beamformers, which require several GFLOPS of computation.
Gregory Allen received his B.S.E.E. (1991) and M.S.E.E. (1998) degrees from The University of Texas at Austin. He is a full-time Research Engineer in the Advanced Technology Laboratory at Applied Research Laboratories. Greg is also part-time Ph.D. student in the Computer Engineering Area. His areas of research include formal models, scalable software, high-performance computing, and real-time sonar imaging.
A list of Telecommunications and Signal Processing Seminars is available at from the ECE department Web pages under "Seminars". The Web address for the Telecommunications and Signal Processing Seminars is http://signal.ece.utexas.edu/seminars