By Topic

Combining array processing and sparse sensing approaches to oceanography: Methods and applications

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Ananya Sen Gupta ; Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, MA 02543, USA

We propose a vision for combining well-known array processing techniques with recent developments in the compressive sensing community to address a broad range of signal processing problems related to oceanography. Our goal is to set up a general mathematical framework to address and solve sensor array problems that involve time-varying sparse processes. Specifically we propose a compressive sensor array system that potentially reduces the need for high intensity signals by exploiting the spatial redundancy of the sensor array and the sparsity of data in the volume of interest. Simulations are presented to illustrate the high performance of sparse reconstruction techniques that are key to proposed sensor array.

Published in:


Date of Conference:

20-23 Sept. 2010