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» Compressed Remote Sensing of Sparse Objects
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SIAMIS
2010
129views more  SIAMIS 2010»
12 years 11 months ago
Compressed Remote Sensing of Sparse Objects
Abstract. The linear inverse source and scattering problems are studied from the perspective of compressed sensing, in particular the idea that sufficient incoherence and sparsity ...
Albert Fannjiang, Thomas Strohmer, Pengchong Yan
CORR
2010
Springer
172views Education» more  CORR 2010»
13 years 5 months ago
The MUSIC Algorithm for Sparse Objects: A Compressed Sensing Analysis
The MUSIC algorithm, and its extension for imaging sparse extended objects, with noisy data is analyzed by compressed sensing (CS) techniques. A thresholding rule is developed to a...
Albert Fannjiang
ICASSP
2009
IEEE
13 years 11 months ago
A compressive sensing approach to object-based surveillance video coding
This paper studies the feasibility and investigates various choices in the application of compressive sensing (CS) to object-based surveillance video coding. The residual object e...
Divya Venkatraman, Anamitra Makur
ECCV
2008
Springer
14 years 6 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....
ICIP
2008
IEEE
13 years 11 months ago
Compressed sensing for multi-view tracking and 3-D voxel reconstruction
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Ce...