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» Sampling and Reconstruction of Operators
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ICASSP
2009
IEEE
14 years 2 months ago
A simple, efficient and near optimal algorithm for compressed sensing
When sampling signals below the Nyquist rate, efficient and accurate reconstruction is nevertheless possible, whenever the sampling system is well behaved and the signal is well ...
Thomas Blumensath, Mike E. Davies
ICASSP
2008
IEEE
14 years 2 months ago
A confidence measure and iterative rank-based method for temporal registration
In this paper we develop a confidence measure that can determine if a given set of samples is suitable for inclusion in the reconstruction of a higher resolution dataset. The con...
Meghna Singh, Mrinal K. Mandal, Anup Basu
ICIP
2010
IEEE
13 years 5 months ago
Compressed sensing for aperture synthesis imaging
The theory of compressed sensing has a natural application in interferometric aperture synthesis. As in many real-world applications, however, the assumption of random sampling, w...
Stephan Wenger, Soheil Darabi, Pradeep Sen, Karl-H...
FAST
2009
13 years 5 months ago
WorkOut: I/O Workload Outsourcing for Boosting RAID Reconstruction Performance
User I/O intensity can significantly impact the performance of on-line RAID reconstruction due to contention for the shared disk bandwidth. Based on this observation, this paper p...
Suzhen Wu, Hong Jiang, Dan Feng, Lei Tian, Bo Mao
ISBI
2004
IEEE
14 years 8 months ago
Tomographic Reconstruction From an Uncontrolled Sensor Trajectory
For many medical procedures 3D bone models are built from Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) data, both of which are expensive and time consuming, and un...
Chris Baker, Christian Debrunner, William Hoff, Ja...