1236 search results - page 55 / 248 » Robust estimation for sparse data |
TIT
2010
14 years 4 months ago
2010
Wideband analog signals push contemporary analog-to-digital conversion systems to their performance limits. In many applications, however, sampling at the Nyquist rate is inefficie...
ECML
2007
Springer
15 years 4 months ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
TSP
2008
14 years 9 months ago
2008
Abstract-- The FOCal Underdetermined System Solver (FOCUSS) algorithm has already found many applications in signal processing and data analysis, whereas the regularized MFOCUSS al...
104
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SDM
2012
SIAM
13 years 8 days ago
2012
SIAM
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
104
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, we consider power spectral density estimation of bandlimited, wide-sense stationary signals from sub-Nyquist sampled data. This problem has recently received attent...