Matrix algebra plays an important role in modern signal processing. In many applications, the information-bearing signal lies in a subspace, while the parameters of interest correspond to a particular basis of this subspace. Whereas the signal subspace can often be reliably estimated from measured data, the particular basis of interest cannot be identified without additional problem-specific structure. This is due to rotational indeterminacy - non-uniqueness of low-rank matrix decomposition. The situation is very different for three-or higher-way arrays, i.e., data `boxes' indexed by three or more independent variables, for which low-rank decomposition is unique under certain conditions. There are numerous application areas where data of this kind arise (communications, array processing, speech/audio separation, video, spectroscopy, NMR), and strong potential for new applications. This talk will be a guided tour of theory and algorithms for analyzing data boxes, with emphasis on communications and array processing applications.
Nikos Sidiropoulos (SM) received the Ph.D. degree in Electrical Engineering, University of Maryland (1992). He served as Assistant Professor, University of Virginia; Associate Professor, University of Minnesota; and Professor, Technical University of Crete, since 2002.
Prof. Sidiropoulos has published over 50 journal papers, 85 conference papers, five book chapters and one edited book. He has been a consultant to Globespan and General Dynamics, and has co-authored three patents. He received the U.S. NSF Young Faculty CAREER Award (1998) and two IEEE SPS Best Paper Awards (2001 and 2007).
Prof. Sidiropoulos’ volunteer activities include Member, Vice-Chair and Chair, SPS Signal Processing for Communications Technical Committee (2000-present, 2005-06 and 2007-08, respectively); Member, SPS Sensor Array and Multichannel Technical Committee (2004-present); Associate Editor, IEEE Transactions on Signal Processing (2000-06) and IEEE Signal Processing Letters (2000-02); Technical Program Chair, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) (2005); Technical Program Co-Chair, IEEE Sensor Array and Multi-Channel Signal Processing Workshop (SAM) (2008); General Co-Chair, IEEE International Workshop on Computational Advances in Multi-Channel Sensor Array Processing (CAMSAP) (2007); and on the Program Committee of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2011 in Prague.