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CIMAGING
2009
192views Hardware» more  CIMAGING 2009»
13 years 8 months ago
Compressive coded aperture imaging
Nonlinear image reconstruction based upon sparse representations of images has recently received widespread attention with the emerging framework of compressed sensing (CS). This ...
Roummel F. Marcia, Zachary T. Harmany, Rebecca Wil...
TIT
2010
112views Education» more  TIT 2010»
13 years 2 months ago
Exponential bounds implying construction of compressed sensing matrices, error-correcting codes, and neighborly polytopes by ran
In [12] the authors proved an asymptotic sampling theorem for sparse signals, showing that n random measurements permit to reconstruct an N-vector having k nonzeros provided n >...
David L. Donoho, Jared Tanner
CORR
2011
Springer
203views Education» more  CORR 2011»
13 years 2 months ago
Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
Laurent Jacques, Jason N. Laska, Petros Boufounos,...
VCIP
2001
199views Communications» more  VCIP 2001»
13 years 9 months ago
Estimation of large-amplitude motion and disparity fields: application to intermediate view reconstruction
This paper describes a method for establishing dense correspondence between two images in a video sequence (motion) or in a stereo pair (disparity) in case of large displacements....
Moustapha Kardouchi, Janusz Konrad, Carlos V&aacut...
ENTCS
2007
101views more  ENTCS 2007»
13 years 7 months ago
Compressing Propositional Refutations
We report initial results on shortening propositional resolution refutation proofs. This has an application in speeding up deductive reconstruction (in theorem provers) of large p...
Hasan Amjad