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» Sparse Numerical Semigroups
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ICASSP
2010
IEEE
14 years 12 months ago
Sparsity maximization under a quadratic constraint with applications in filter design
This paper considers two problems in sparse filter design, the first involving a least-squares constraint on the frequency response, and the second a constraint on signal-to-noi...
Dennis Wei, Alan V. Oppenheim
CORR
2010
Springer
166views Education» more  CORR 2010»
14 years 12 months ago
The dynamics of message passing on dense graphs, with applications to compressed sensing
`Approximate message passing' algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements. Extensive num...
Mohsen Bayati, Andrea Montanari
ICASSP
2011
IEEE
14 years 3 months ago
Additive character sequences with small alphabets for compressed sensing matrices
Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this paper, a K × N measurement matrix for compressed sensing ...
Nam Yul Yu
ICASSP
2011
IEEE
14 years 3 months ago
The compressive multiplexer for multi-channel compressive sensing
The recently developed compressive sensing (CS) framework enables the design of sub-Nyquist analog-to-digital converters. Several architectures have been proposed for the acquisit...
John P. Slavinsky, Jason N. Laska, Mark A. Davenpo...
CVPR
2012
IEEE
13 years 2 months ago
Robust late fusion with rank minimization
In this paper, we propose a rank minimization method to fuse the predicted confidence scores of multiple models, each of which is obtained based on a certain kind of feature. Spe...
Guangnan Ye, Dong Liu, I-Hong Jhuo, Shih-Fu Chang