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ICASSP
2009
IEEE
14 years 2 months ago
Field inversion by consensus and compressed sensing
— We study the inversion of a random field from pointwise measurements collected by a sensor network. We assume that the field has a sparse representation in a known basis. To ...
Aurora Schmidt, José M. F. Moura
ICIP
2010
IEEE
13 years 5 months ago
Sectional image reconstruction in optical scanning holography using compressed sensing
Optical scanning holography is a form of digital holographic system, which allows us to capture a three-dimensional (3D) object in the two-dimensional (2D) hologram. A postprocess...
Xin Zhang, Edmund Y. Lam
ICASSP
2011
IEEE
12 years 11 months ago
Short and smooth sampling trajectories for compressed sensing
This paper explores a novel setting for compressed sensing (CS) in which the sampling trajectory length is a critical bottleneck and must be minimized subject to constraints on th...
Rebecca M. Willett
ICASSP
2011
IEEE
12 years 11 months ago
Using the kernel trick in compressive sensing: Accurate signal recovery from fewer measurements
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
Hanchao Qi, Shannon Hughes
BSN
2011
IEEE
233views Sensor Networks» more  BSN 2011»
12 years 7 months ago
Compressive Sensing of Neural Action Potentials Using a Learned Union of Supports
—Wireless neural recording systems are subject to stringent power consumption constraints to support long-term recordings and to allow for implantation inside the brain. In this ...
Zainul Charbiwala, Vaibhav Karkare, Sarah Gibson, ...