Sparsity, Optimization, and Compressive Sensing for Electromagnetic Spectrum Applications
Register Map this EventMap this Event Tell a Friend About This EventTell a Friend
 

Developing high-bandwidth sensing and high-resolution imaging systems requires facing significant Big Data challenges in sampling and computation. This overview talk will survey some of the core ideas underlying sparsity, optimization, and compressive sensing and highlight specific potential applications in electromagnetic contexts such as radar imaging, spectrum monitoring, and array processing.

 Export to Your Calendar 11/13/2019
When: Wednesday, November 13
5:30 PM
Where: Map this event »
Colorado School of Mines
1613 Illinois St.
Building: Alderson Hall, Room Number: 162
Golden, Colorado  80401
United States
Presenter: Prof Michael B. Wakin
Contact: Jason Fritz


Online registration is available until: 11/13/2019
« Go to Upcoming Event List  

1730-1800: Networking, food (light dinner, e.g., pizza)
1800-1900: Feature Presentation (times approximate, might start earlier)

After 5pm, visitors can park for free on the gray campus streets or colored lots indicated on the map (https://www.mines.edu/parking/wp-content/uploads/sites/91/2019/08/19-20-Parking-Map.pdf). However, street parking off campus (white areas) requires a Golden city permit.

Abstract
Developing high-bandwidth sensing and high-resolution imaging systems requires facing significant Big Data challenges in sampling and computation. Fortunately, in many applications, the signals of interest exhibit a certain low-dimensional structure such as having a sparse spectrum. This structure makes possible a variety of techniques for sub-Nyquist sampling, reconstructing, and better localizing parameters of interest in such signals using modern optimization-based algorithms. This overview talk will survey some of the core ideas underlying sparsity, optimization, and compressive sensing and highlight specific potential applications in electromagnetic contexts such as radar imaging, spectrum monitoring, and array processing.

Bio

Prof. Michael B. Wakin, Department of Electrical and Computer Engineering, Colorado School of Mines

Michael B. Wakin is a Professor of Electrical Engineering at the Colorado School of Mines. Dr. Wakin received a B.S. in electrical engineering and a B.A. in mathematics in 2000 (summa cum laude), an M.S. in electrical engineering in 2002, and a Ph.D. in electrical engineering in 2007, all from Rice University. He was an NSF Mathematical Sciences Postdoctoral Research Fellow at Caltech from 2006-2007, an Assistant Professor at the University of Michigan from 2007-2008, and a Ben L. Fryrear Associate Professor at Mines from 2015-2017. His research interests include signal and data processing using sparse, low-rank, and manifold-based models.

In 2007, Dr. Wakin shared the Hershel M. Rich Invention Award from Rice University for the design of a single-pixel camera based on compressive sensing. In 2008, Dr. Wakin received the DARPA Young Faculty Award for his research in compressive multi-signal processing for environments such as sensor and camera networks. In 2012, Dr. Wakin received the NSF CAREER Award for research into dimensionality reduction techniques for structured data sets. In 2014, Dr. Wakin received the Excellence in Research Award for his research as a junior faculty member at Mines. Dr. Wakin is a recipient of the Best Paper Award from the IEEE Signal Processing Society. He has served as an Associate Editor for IEEE Signal Processing Letters and is currently an Associate Editor for IEEE Transactions on Signal Processing.

With over 13,000 members internationally, the Association of Old Crows is an organization for individuals who have common interests in Electronic Warfare (EW), Electromagnetic Spectrum Management Operations, Cyber Electromagnetic Activities (CEMA), Information Operations (IO), and other information related capabilities. The Association of Old Crows provides a means of connecting members and organizations nationally and internationally across government, defense, industry, and academia to promote the exchange of ideas and information, and provides a platform to recognize advances and contributions in these fields.
This website uses cookies to store information on your computer. Some of these cookies are used for visitor analysis, others are essential to making our site function properly and improve the user experience. By using this site, you consent to the placement of these cookies. Click Accept to consent and dismiss this message or Deny to leave this website. Read our Privacy Statement for more.