More Is Less: Signal Processing and the Data Deluge

Author:

Baraniuk Richard G.1

Affiliation:

1. Department of Electrical and Computer Engineering, Rice University, Houston, TX 77251–1892, USA.

Abstract

The data deluge is changing the operating environment of many sensing systems from data-poor to data-rich––so data-rich that we are in jeopardy of being overwhelmed. Managing and exploiting the data deluge require a reinvention of sensor system design and signal processing theory. The potential pay-offs are huge, as the resulting sensor systems will enable radically new information technologies and powerful new tools for scientific discovery.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference10 articles.

1. J. Gantz D. Reinsel “The Digital Universe Decade—Are You Ready?” IDC White Paper May 2010; http://idcdocserv.com/925.

2. DARPA ARGUS-IS program www.darpa.mil/i2o/programs/argus/argus.asp.

3. The CMS experiment at the CERN LHC

4. U.S. National Academy of Engineering and Royal Academy of Engineering Frontiers of Engineering EU-US Symposium Cambridge UK 31 August to 3 September 2010; www.raeng.org.uk/international/activities/frontiers_engineering_symposium.htm.

5. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

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