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ICASSP
2011
IEEE
12 years 8 months ago
Improved model-based spectral compressive sensing via nested least squares
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
Mahdi Shaghaghi, Sergiy A. Vorobyov
NIPS
2004
13 years 6 months ago
Computing regularization paths for learning multiple kernels
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
Francis R. Bach, Romain Thibaux, Michael I. Jordan
ICASSP
2011
IEEE
12 years 8 months ago
Compressive sensing meets game theory
We introduce the Multiplicative Update Selector and Estimator (MUSE) algorithm for sparse approximation in underdetermined linear regression problems. Given f = Φα∗ + µ, the ...
Sina Jafarpour, Robert E. Schapire, Volkan Cevher
EJASP
2010
89views more  EJASP 2010»
12 years 11 months ago
Sparsity-Aware Estimation of CDMA System Parameters
The number of active users, their timing offsets, and their (possibly dispersive) channels with the access point are decisive parameters for wireless code division multiple access...
Daniele Angelosante, Emanuele Grossi, Georgios B. ...
TSP
2008
146views more  TSP 2008»
13 years 4 months ago
Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals
Abstract-- The FOCal Underdetermined System Solver (FOCUSS) algorithm has already found many applications in signal processing and data analysis, whereas the regularized MFOCUSS al...
Rafal Zdunek, Andrzej Cichocki