Personal tools
Home Events Events Archive 2012 Compressive Signal Processing

Compressive Signal Processing

— filed under:

What
  • Seminar Series
When Nov 21, 2011
from 01:00 PM to 02:00 PM
Where 54-134 Engineering IV Building
Add event to calendar vCal
iCal

Richard Baraniuk
Department of Electrical and Computer Engineering
Rice University

Abstract:

Sensing and imaging systems 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. The foundation of today's digital data acquisition and processing systems is the Shannon/Nyquist sampling theorem, which asserts that to avoid losing information when digitizing a signal or image, one must sample at least two times faster than the signal's bandwidth, at the so-called Nyquist rate.  Unfortunately, the physical limitations of current sensing systems combined with inherently high Nyquist rates impose a performance brick wall to a large class of important and emerging applications.  This talk will overview the foundations and recent progress on compressive signal processing, a new approach to data acquisition and processing in which analog signals are  digitized not via uniform sampling but via measurements using more general, even random, test functions. In stark contrast with conventional wisdom, the new theory asserts that one can combine "sub-Nyquist-rate sampling" with digital computational power for efficient and accurate signal acquisition when the signal has a sparse structure.  The implications of compressive sensing are promising for many applications and enable the design of new kinds of communication systems, cameras, microscopes, and pattern recognition systems.


Biography:

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 sensing and signal processing.  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 AAAS and has received national young investigator awards from the National Science Foundation and the Office of Naval Research, the Rosenbaum Fellowship from the Isaac


For additional information please contact Prof Puneet Gupta (puneet@ee.ucla.edu), Prof Suhas Diggavi (suhasdiggavi@ucla.edu)

Document Actions