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CDC
2010
IEEE
140views Control Systems» more  CDC 2010»
13 years 9 days ago
On the observability of linear systems from random, compressive measurements
Abstract-- Recovering or estimating the initial state of a highdimensional system can require a potentially large number of measurements. In this paper, we explain how this burden ...
Michael B. Wakin, Borhan Molazem Sanandaji, Tyrone...
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 5 months ago
Restricted Isometries for Partial Random Circulant Matrices
In the theory of compressed sensing, restricted isometry analysis has become a standard tool for studying how efficiently a measurement matrix acquires information about sparse an...
Holger Rauhut, Justin K. Romberg, Joel A. Tropp
ECCV
2008
Springer
14 years 7 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
ICMCS
2006
IEEE
97views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Utilizing SSR Indications for Improved Video Communication in Presence of 802.11B Residue Errors
Radio hardware used for the reception of 802.11b frames is capable of associating a Signal to Silence Ratio (SSR) with each received frame. If a received frame is corrupted, then ...
Shirish S. Karande, Utpal Parrikar, Kiran Misra, H...