255 search results - page 28 / 51 » Sampling Sparse Signals on the Sphere: Algorithms and Applic... |
102
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CORR
2011
Springer
14 years 4 months ago
2011
Springer
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
DSMML
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Gaussian process prior systems generally consist of noisy measurements of samples of the putatively Gaussian process of interest, where the samples serve to constrain the...
107
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ISBI
2007
IEEE
15 years 3 months ago
2007
IEEE
According to the recent theory of compressed sensing, accurate reconstruction is possible even from data samples dramatically smaller than Nyquist sampling limit as long as the un...
88
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Recent works in modified compressed sensing (CS) show that reconstruction of sparse or compressible signals with partially known support yields better results than traditional CS...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...