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12/18/2019
Generalized Residual Ratio Thresholding
Simultaneous orthogonal matching pursuit (SOMP) and block OMP (BOMP) are...
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11/17/2018
High SNR Consistent Compressive Sensing Without Signal and Noise Statistics
Recovering the support of sparse vectors in underdetermined linear regre...
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09/19/2018
Noise Statistics Oblivious GARD For Robust Regression With Sparse Outliers
Linear regression models contaminated by Gaussian noise (inlier) and pos...
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06/02/2018
Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit
Orthogonal matching pursuit (OMP) is a widely used algorithm for recover...
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05/06/2018
Residual Ratio Thresholding for Model Order Selection
Model order selection (MOS) in linear regression models is a widely stud...
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07/27/2017
Signal and Noise Statistics Oblivious Sparse Reconstruction using OMP/OLS
Orthogonal matching pursuit (OMP) and orthogonal least squares (OLS) are...
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03/15/2017
Tuning Free Orthogonal Matching Pursuit
Orthogonal matching pursuit (OMP) is a widely used compressive sensing (...
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03/10/2017
