Friday, October 12 2:00 to 3:00 pm 5602 Beckman Institute Title: Compressive Signal Processing Speaker: Professor Richard Baraniuk Rice University | Connexions dsp.rice.edu | cnx.org richb@rice.edu | richb@cnx.org Abstract: Sensors, signal processing hardware, and algorithms are under increasing pressure to accommodate ever larger and higher-dimensional data sets; ever faster capture, sampling, and processing rates; ever lower power consumption; communication over ever more difficult channels; and radically new sensing modalities. This talk will overview our recent work on "Compressive Sensing", a new approach to data acquisition in which analog signals are digitized for processing not via uniform sampling but via inner products with random test functions. The implications of compressive sensing are promising for many applications and enable the design of new kinds of analog-to-digital converters, imaging systems and cameras, and radar systems. Bio: Richard G. Baraniuk is the Victor E. Cameron Professor of Electrical and Computer Engineering Department at Rice University. His research interests lie in new theory, algorithms, and hardware for signal processing and imaging. His work on the Rice single-pixel compressive camera has been widely reported in the popular press and was selected by MIT Technology Review as a TR10 Top 10 Emerging Technology for 2007. He is a Fellow of the IEEE and has received national young investigator awards from the National Science Foundation and the Office of Naval Research, the Rosenbaum Fellowship from the Isaac Newton Institute of Cambridge University, and the ECE Young Alumni Achievement Award from the University of Illinois. He has received the George R. Brown Award for Superior Teaching at Rice three times, received the C. Holmes MacDonald National Outstanding Teaching Award from Eta Kappa Nu, and was selected as one of Edutopia Magazine’s Daring Dozen Education Innovators in 2007. His non-profit open-access educational publishing project Connexions (cnx.org) was a Tech Museum of Innovation Laureate in 2006.