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Electronic Imaging & Signal Processing

Richard Baraniuk: Compressive sampling for cameras outside visible wavelengths

New techniques to reduce the complexity of sensing will lower costs and increase the speed of data processing.
10 September 2012, SPIE Newsroom. DOI: 10.1117/2.3201209.03

Richard G. Baraniuk is Victor E. Cameron Professor in the Electrical and Computer Engineering Department at Rice University. His research interests include signal and imaging processing, compressive sensing, sensor networks, pattern recognition and machine learning.

Compressive sensing, also known as compressive sampling, compressed sensing and sparse sampling, is a technique for finding sparse solutions to underdetermined linear systems. In electrical engineering, particularly in signal processing, compressed sensing is the process of acquiring and reconstructing a signal that is supposed to be sparse or compressible.The implications of compressive sensing are promising for many applications and enable the design of new kinds of analog-to-digital converters, cameras, and imaging systems. Baraniuk's work with Kevin Kelly on the Rice "single-pixel camera" applied the ideas of compressive sensing to design a novel imaging system that was selected by Technology Review as a TR10 Top 10 Emerging Technology in 2007.

Baraniuk received a B.Sc. from the University of Manitoba in 1987 and a M.Sc. from the University of Wisconsin-Madison in 1988. He earned a Ph.D. in electrical engineering at the University of Illinois at Urbana-Champaign in 1992. He was honored with a Compressive Sensing Pioneer Award at the 2012 SPIE Defense, Security and Sensing symposium.

In 1999, Baraniuk launched Connexions, a non-profit publishing project that aims to bring textbooks and learning materials into the Internet Age. Connexions makes high-quality educational content available to anyone, anytime for free on the web and at very low cost in print by inviting authors, educators, and learners worldwide to "create, rip, mix, and burn" textbooks, courses, and learning materials from its global open-access repository. Each month, Connexions' free educational materials are used by over 2 million people from nearly 200 countries. He delivered a TED talk on Connexions in 2006. In 2008, Baraniuk received the Internet Pioneer Award from Berkman Center for Internet & Society, in 2009 he received the World Technology Award for education, and in 2010 he received the IEEE Signal Processing Society Education Award. In 2011 he received the WISE Education Award.