Array processing and beamforming with Kronecker products

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The focus of this talk is on array processing and beamforming with Kronecker products. We
consider a large family of sensor arrays that enable the decomposition of the steering vector as a
Kronecker product of two steering vectors of smaller virtual arrays. Instead of directly designing
a global beamformer for the original array, we break it down following the decomposition of the
steering vector, and design smaller virtual beamformers separately optimized for each virtual
array. This implies smaller matrices to invert, which increases the robustness of the
beamformers, and less observations to estimate the statistics when necessary.
We explain how to perform beamforming with Kronecker product filters differently from the
well-known and studied conventional approach. We show how to derive fixed, adaptive, and
differential beamformers with remarkable flexibility thanks to the Kronecker product
formulation. Furthermore, fixed and adaptive beamformers can be combined very intelligently,
so that the better of each one of these two approaches is emphasized for performance
enhancement. We also address the problem of spatiotemporal signal enhancement, and explain
how to perform Kronecker product filtering in this context.



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  • Date: 15 Oct 2019
  • Time: 06:30 PM to 08:00 PM
  • All times are (UTC-05:00) Central Time (US & Canada)
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  • 321 3rd Ave SW
  • Rochester, Minnesota
  • United States 55902
  • Building: Medical Sciences Bldg (east side, north door)
  • Room Number: Mann Hall

  • Contact Event Host
  • Co-sponsored by Victoria Marks
  • Starts 01 October 2019 09:05 PM
  • Ends 15 October 2019 05:05 PM
  • All times are (UTC-05:00) Central Time (US & Canada)
  • No Admission Charge


  Speakers

Israel Cohen of Israel Institute of Technology, Haifa, Israel

Biography:

Israel Cohen (M’01-SM’03-F’15) is the Louis and Samuel Seidan Professor in electrical engineering at the Technion – Israel Institute of Technology, Haifa, Israel. He is also a Visiting Professor at Northwestern Polytechnical University, Xi’an, China. He is an IEEE Fellow “for contributions to the theory and application of speech enhancement”, and Distinguished Lecturer of the IEEE Signal Processing Society (2019-2020).

He received the B.Sc. (Summa Cum Laude), M.Sc. and Ph.D. degrees in electrical engineering
from the Technion- Israel Institute of Technology, Haifa, Israel, in 1990, 1993 and 1998,
respectively. From 1990 to 1998, he was a Research Scientist with RAFAEL Research
Laboratories, Haifa, Israel Ministry of Defense. From 1998 to 2001, he was a Postdoctoral
Research Associate with the Computer Science Department, Yale University, New Haven, CT,
USA. In 2001 he joined the Electrical Engineering Department of the Technion.

He is a coeditor of the Multichannel Speech Processing Section of the Springer Handbook of
Speech Processing (Springer, 2008), and a coauthor of Fundamentals of Signal Enhancement and
Array Signal Processing (Wiley-IEEE Press, 2018).

He was the recipient of the Norman Seiden Prize for Academic Excellence (2017), the SPS
Signal Processing Letters Best Paper Award (2014), the Alexander Goldberg Prize for
Excellence in Research (2010), and the Muriel and David Jacknow Award for Excellence in
Teaching (2009).

He is an Associate Member of the IEEE Audio and Acoustic Signal Processing Technical
Committee. He was an Associate Editor, IEEE TRANSACTIONS ON SPEECH AND AUDIO
PROCESSING (2004-2007); Associate Editor, IEEE SIGNAL PROCESSING
LETTERS (2004-2008); Member, IEEE Audio and Acoustic Signal Processing Technical
Committee (2012-2017); Member, IEEE Speech and Language Processing Technical
Committee (2013-2015); Guest Editor, European Association for Signal Processing Journal on
Advances in Signal Processing Special Issue on Advances in Multimicrophone Speech
Processing; and Guest Editor, Elsevier Speech Communication Journal a Special Issue on
Speech Enhancement.

His research interests are array processing, statistical signal processing, deep learning, analysis
and modeling of acoustic signals, speech enhancement, noise estimation, microphone arrays,
source localization, blind source separation, system identification and adaptive filtering.

Email:





Agenda

A pizza social will begin at 6:30 PM, followed by the start of the talk at 6:30 PM.