Speaker: Robert Calderbank

               Duke University

Time: May 31 (Thursday), 15:30-16:30

Venue: Large Conference Room, Math Building

Title: Wireless Communications, Number Theory, and Compressive Sensing

Abstract: The challenge of Multiuser Detection (MUD) is that of demodulating mutually interfering signals, given that at any time instant, the number of active users is typically small. The promise of compressed sensing is demodulation of sparse superpositions of signature waveforms from very few measurements. This talk will describe how number theory can be used to design signals and how methods of compressed sensing can be applied to Multiuser Detection.

Biography:

Robert Calderbank is Dean of Natural Sciences and Professor of Electrical Engineering at Duke University where he directs a research program at the interface of signal processing and wireless communication. Prior to joining Duke in 2010, he was Director of the Program in Applied and Computational Mathematics at Princeton University, and before joining Princeton in 2004 he was Vice President for Research at AT&T. At the start of his career at Bell  Labs Professor Calderbank developed technology that was incorporated in a progression of voiceband modem standards that moved communications practice close to the Shannon limit. Together colleagues at AT&T Labs he showed that good quantum error correcting codes exist and developed the group theoretic framework for quantum error correction. He is a  co- inventor of space-time codes for wireless communication, where  correlation of signals across different transmit antennas is the key to reliable transmission. Professor Calderbank was elected to the US National Academy of Engineering in 2005.